Are you a visionary iOS Developer ready to take the reins and lead a dynamic team towards ground-breaking mobile app development? If you have a passion for crafting seamless user experiences, staying ahead of industry trends, and driving innovation in the iOS ecosystem, then this company want to hear from you! Who Are The Client: This Manchester based business, are a cutting-edge tech company committed to pushing boundaries and creating transformative digital experiences. Their large-scale mobile team is driven by a shared passion for excellence and a commitment to delivering top-notch iOS applications that leave a lasting impression. What You'll Be Doing: As a Lead iOS Developer, you'll be at the forefront of shaping the future of the company's mobile applications. You will lead projects and mentor a team of iOS developers, driving the design, development, and deployment of innovative iOS solutions. Your responsibilities will include: Architecting and implementing robust, scalable, and maintainable iOS applications. Leading and mentoring a team of iOS developers, fostering a collaborative and innovative environment. Collaborating with cross-functional teams, including designers and product managers, to deliver high-quality solutions. Staying up-to-date with the latest iOS trends and technologies, and incorporating them into their development processes. Providing technical leadership and guidance to ensure the success of iOS projects. Working from their Manchester office a few times a week for team collaboration purposes. Technical Skills: Proven experience as an iOS Developer with a strong portfolio of successful applications. Expertise in Swift and Objective-C, with a deep understanding of iOS frameworks. Previous mentoring experience within an iOS development team. Strong problem-solving skills and the ability to thrive in a fast-paced, agile environment. Excellent communication and teamwork skills. What They Offer A dynamic and inclusive work environment that encourages creativity and collaboration. Competitive starting salary of up to £83,000 and benefits package. Opportunities for professional growth and development through continuous learning and training. The chance to work on exciting projects that impact users globally. If you're ready to lead the charge in iOS development and make a lasting impact, I want to hear from you! InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from all suitably qualified persons regardless of age, disability, gender, religion/belief, race, marriage, civil partnership, pregnancy, maternity, sex or sexual orientation. Please make us aware if you require any reasonable adjustments throughout the recruitment process.
20/05/2024
Full time
Are you a visionary iOS Developer ready to take the reins and lead a dynamic team towards ground-breaking mobile app development? If you have a passion for crafting seamless user experiences, staying ahead of industry trends, and driving innovation in the iOS ecosystem, then this company want to hear from you! Who Are The Client: This Manchester based business, are a cutting-edge tech company committed to pushing boundaries and creating transformative digital experiences. Their large-scale mobile team is driven by a shared passion for excellence and a commitment to delivering top-notch iOS applications that leave a lasting impression. What You'll Be Doing: As a Lead iOS Developer, you'll be at the forefront of shaping the future of the company's mobile applications. You will lead projects and mentor a team of iOS developers, driving the design, development, and deployment of innovative iOS solutions. Your responsibilities will include: Architecting and implementing robust, scalable, and maintainable iOS applications. Leading and mentoring a team of iOS developers, fostering a collaborative and innovative environment. Collaborating with cross-functional teams, including designers and product managers, to deliver high-quality solutions. Staying up-to-date with the latest iOS trends and technologies, and incorporating them into their development processes. Providing technical leadership and guidance to ensure the success of iOS projects. Working from their Manchester office a few times a week for team collaboration purposes. Technical Skills: Proven experience as an iOS Developer with a strong portfolio of successful applications. Expertise in Swift and Objective-C, with a deep understanding of iOS frameworks. Previous mentoring experience within an iOS development team. Strong problem-solving skills and the ability to thrive in a fast-paced, agile environment. Excellent communication and teamwork skills. What They Offer A dynamic and inclusive work environment that encourages creativity and collaboration. Competitive starting salary of up to £83,000 and benefits package. Opportunities for professional growth and development through continuous learning and training. The chance to work on exciting projects that impact users globally. If you're ready to lead the charge in iOS development and make a lasting impact, I want to hear from you! InterQuest Group is acting as an employment agency for this vacancy. InterQuest Group is an equal opportunities employer and we welcome applications from all suitably qualified persons regardless of age, disability, gender, religion/belief, race, marriage, civil partnership, pregnancy, maternity, sex or sexual orientation. Please make us aware if you require any reasonable adjustments throughout the recruitment process.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Enterprise Architect (Retail), London Salary, 10-20% bonus + great benefits, Hybrid working/London Would you like to be at the heart of a major business transformation to SAP S4 Hana, for a prestigious retail group as the Enterprise Architect heading up an Architecture team? Working for a global retail company as the Enterprise Architect you will lead the architecture function. You will manage the architecture function, be the enterprise architect and manage a team of solutions architects, continue to strengthen the 5-year Roadmap, and drive the key programme of the enterprise level transformation to SAP S/4 Hana. You'll bring experience of developing & owning an IT strategy and IT architecture re in line with business strategy, developing a future state architecture alongside the Programme teams, enable solution delivery and build established architecture frameworks, tools, and governance. There is a team of 5 solution architects covering infrastructure, data, SAP, and retail domains which you will head up. You'll need to comfortable deriving the definition and implementation of strategies, principles and standards for enterprise architecture and innovation. There is more than just the SAP project, with other digital and technology transformations and projects, but the key programme currently is the move to SAP S4 Hana, so understanding the SAP landscape would be crucial to drive the transition. If you have good Enterprise Architecture experience, enjoy leading and managing a team of architects and have SAP S4 experience please apply. Experience within a consumer, B2C, FMCG or Retail background would be advantageous. There is a great benefits package (which most employees the discounts heavily), a 10-20% company bonus scheme and corporate benefits including private medical. The nature of this role, team and stakeholders would require you on site in London 2-3 days per week. Salary is what you would expect of a London based Enterprise Architect or Head of Architecture role heading up a large transformation and managing a team of Solutions architects, along with a package.
17/05/2024
Full time
Enterprise Architect (Retail), London Salary, 10-20% bonus + great benefits, Hybrid working/London Would you like to be at the heart of a major business transformation to SAP S4 Hana, for a prestigious retail group as the Enterprise Architect heading up an Architecture team? Working for a global retail company as the Enterprise Architect you will lead the architecture function. You will manage the architecture function, be the enterprise architect and manage a team of solutions architects, continue to strengthen the 5-year Roadmap, and drive the key programme of the enterprise level transformation to SAP S/4 Hana. You'll bring experience of developing & owning an IT strategy and IT architecture re in line with business strategy, developing a future state architecture alongside the Programme teams, enable solution delivery and build established architecture frameworks, tools, and governance. There is a team of 5 solution architects covering infrastructure, data, SAP, and retail domains which you will head up. You'll need to comfortable deriving the definition and implementation of strategies, principles and standards for enterprise architecture and innovation. There is more than just the SAP project, with other digital and technology transformations and projects, but the key programme currently is the move to SAP S4 Hana, so understanding the SAP landscape would be crucial to drive the transition. If you have good Enterprise Architecture experience, enjoy leading and managing a team of architects and have SAP S4 experience please apply. Experience within a consumer, B2C, FMCG or Retail background would be advantageous. There is a great benefits package (which most employees the discounts heavily), a 10-20% company bonus scheme and corporate benefits including private medical. The nature of this role, team and stakeholders would require you on site in London 2-3 days per week. Salary is what you would expect of a London based Enterprise Architect or Head of Architecture role heading up a large transformation and managing a team of Solutions architects, along with a package.
Principal Mechanical Engineer - Cutting-Edge Engineering Firm Lynx is working with a global engineering company, to recruit a talented Principal Mechanical Engineer to join the team in Hampshire. This is a hybrid role that offers flexibility, competitive pay, and the opportunity to work on innovative projects in the energy sector. Key responsibilities: Spearhead the analysis and design of complex steel structures and storage tanks Utilise advanced software tools, including FEA, to develop cutting-edge designs Collaborate with clients, identify project risks, ensure compliance with quality standards Lead and mentor a team of skilled engineers and CAD technicians Drive continuous improvement in designs, workflows, and company standards Requirements: Degree in a relevant engineering discipline (Masters or PhD preferred)/Chartered Engineer status Minimum 6 years of experience in mechanical or structural engineering, including team leadership Strong knowledge of design codes (Eurocodes, API 620, EN 14620) and proficiency in analysis software (STAAD, ANSYS, CAESAR II, or similar) Excellent problem-solving, communication, and project management skills Ability to thrive in a multi-disciplinary, international team environment Offer Competitive salary up to £60,000 per annum, depending on experience Hybrid working model, providing flexibility and work-life balance Opportunities to lead projects and drive innovation in the industry Supportive, collaborative team environment with opportunities for career growth Comprehensive benefits package Don't miss this chance to join a world-class engineering firm. Apply now!
17/05/2024
Full time
Principal Mechanical Engineer - Cutting-Edge Engineering Firm Lynx is working with a global engineering company, to recruit a talented Principal Mechanical Engineer to join the team in Hampshire. This is a hybrid role that offers flexibility, competitive pay, and the opportunity to work on innovative projects in the energy sector. Key responsibilities: Spearhead the analysis and design of complex steel structures and storage tanks Utilise advanced software tools, including FEA, to develop cutting-edge designs Collaborate with clients, identify project risks, ensure compliance with quality standards Lead and mentor a team of skilled engineers and CAD technicians Drive continuous improvement in designs, workflows, and company standards Requirements: Degree in a relevant engineering discipline (Masters or PhD preferred)/Chartered Engineer status Minimum 6 years of experience in mechanical or structural engineering, including team leadership Strong knowledge of design codes (Eurocodes, API 620, EN 14620) and proficiency in analysis software (STAAD, ANSYS, CAESAR II, or similar) Excellent problem-solving, communication, and project management skills Ability to thrive in a multi-disciplinary, international team environment Offer Competitive salary up to £60,000 per annum, depending on experience Hybrid working model, providing flexibility and work-life balance Opportunities to lead projects and drive innovation in the industry Supportive, collaborative team environment with opportunities for career growth Comprehensive benefits package Don't miss this chance to join a world-class engineering firm. Apply now!
I am working with a well-known software consultancy in Edinburgh who are looking to recruit a Digital Transformation Consultant for their Edinburgh or Bristol office . The company: They are a thriving software company, focused on Digital Transformation and cloud consultancy. Their head office is in Edinburgh, and they have a wide-ranging list of clients from private, to government to public sector. They focus on designing and building software cloud solutions and digital transformation across some huge organisations and this is a pivotal role for them. They are hiring due to an internal restructure and this role will be reporting directly into the company's Managing Director. In relation to where you will work, this will be a combination of home based (majority) and some office working. Ideally, you could get into the Edinburgh office at the Gyle roughly twice a week, as you will be a senior figure and your presence will be of great benefit to the team. However, this role is working with a client down in Bristol, so you will likely visit them once a month. The role could also be based near Bristol, working remotely and close to the client. The role: In this role, you will lead the delivery of complex clients and programmes and will be a key member of the business. You will lead large-scale delivery with a focus on achieving client outcomes, developing senior client relationships (at the C-suite level) and doing this through effective delivery leadership. Your key responsibilities will include but are not limited to: * Leading a multi-disciplined team to drive highest levels of customer satisfaction * Leading on the implementation of the company strategy across one main client * Representing the business across the organisation, in front of clients and prospective clients * Maximising the return on sales and identifying opportunities * Lead on the development of the capability across Project Management, Architecture, Cloud and Software Development This is a client-facing role which combines strong leadership attributes working across all dimensions of the consultancy life cycle, including pre-sales, commercial, relationships, technology, delivery and people. Your background: * Previous experience working in a software/technology consultancy or large end-user * Background in a Senior Software Delivery role, working with large-scale clients and organisations * Strong appreciation of modern software engineering and associated development technologies and the full software development life cycle * Background in leading the delivery of large-scale, complex technology projects for clients, or lead a portfolio of client engagements * Ability to develop and maintain senior client/partner relationships * Contribute to the development of innovative propositions, ways of working and other thought leadership collateral This is an opportunity to work with a thriving and employee-first organisation. You will get to work with some huge organisations whilst leading and working alongside some very bright minds. If you are interested, please apply or call Hamish at Cathcart Technology for a chat.
17/05/2024
Full time
I am working with a well-known software consultancy in Edinburgh who are looking to recruit a Digital Transformation Consultant for their Edinburgh or Bristol office . The company: They are a thriving software company, focused on Digital Transformation and cloud consultancy. Their head office is in Edinburgh, and they have a wide-ranging list of clients from private, to government to public sector. They focus on designing and building software cloud solutions and digital transformation across some huge organisations and this is a pivotal role for them. They are hiring due to an internal restructure and this role will be reporting directly into the company's Managing Director. In relation to where you will work, this will be a combination of home based (majority) and some office working. Ideally, you could get into the Edinburgh office at the Gyle roughly twice a week, as you will be a senior figure and your presence will be of great benefit to the team. However, this role is working with a client down in Bristol, so you will likely visit them once a month. The role could also be based near Bristol, working remotely and close to the client. The role: In this role, you will lead the delivery of complex clients and programmes and will be a key member of the business. You will lead large-scale delivery with a focus on achieving client outcomes, developing senior client relationships (at the C-suite level) and doing this through effective delivery leadership. Your key responsibilities will include but are not limited to: * Leading a multi-disciplined team to drive highest levels of customer satisfaction * Leading on the implementation of the company strategy across one main client * Representing the business across the organisation, in front of clients and prospective clients * Maximising the return on sales and identifying opportunities * Lead on the development of the capability across Project Management, Architecture, Cloud and Software Development This is a client-facing role which combines strong leadership attributes working across all dimensions of the consultancy life cycle, including pre-sales, commercial, relationships, technology, delivery and people. Your background: * Previous experience working in a software/technology consultancy or large end-user * Background in a Senior Software Delivery role, working with large-scale clients and organisations * Strong appreciation of modern software engineering and associated development technologies and the full software development life cycle * Background in leading the delivery of large-scale, complex technology projects for clients, or lead a portfolio of client engagements * Ability to develop and maintain senior client/partner relationships * Contribute to the development of innovative propositions, ways of working and other thought leadership collateral This is an opportunity to work with a thriving and employee-first organisation. You will get to work with some huge organisations whilst leading and working alongside some very bright minds. If you are interested, please apply or call Hamish at Cathcart Technology for a chat.
Lead Radar Developer/Pricing Analyst - HYBRID/REMOTE We have a fantastic opportunity for an experienced individual to join one of our biggest customers. They are a leading force in their industry sector and are consistently receiving awards for being a top employer who take great care looking after their staff. Lead Radar Developer We have an exciting opportunity for an Lead Pricing Implementation Analyst to join the Pricing team based in Hampshire. The Lead Implementation Analyst role will involve the management and deployment of pricing models and underwriting rules across risk and retail pricing which will be key ensuring the client meets its strategic goals. Main Responsibilities as Lead Radar Developer: Develop, validate, review and promote Radar Live models for Risk and Market Pricing. Integration of models ahead of deployment Responsible for XML changes within model Build and deployment of Percayso quote manipulation rules. Manage Radar defects arising from other areas of business from BAU/Standard/Project changes. Radar version/licence updates Enrichment capstone specification maintenance Provide impact assessments for BAU, Standard &Project changes. Ownership and maintenance of Pricing Product Spec documents Ensuring accuracy of Private Car, Commercial Vehicle, Motorcycle and Household rates and rules on internal systems and third party SWH. Management, development and coaching of more Junior Implementation Analysts. Excellent at creating innovative solutions to problems and constantly striving to improve process. Iteratively creating and improving best practices and standards for the team, and ensuring they are clearly communicated and adopted. Excellent spoken and written communication, with the ability to engage constructively in both technical and non-technical discussions at all levels. Ensure close collaboration and alignment with Product teams to ensure knowledge sharing and understanding of what the product builds are trying to achieve. Deputise for the Pricing implementation manager when necessary. Skills and experience you need as Lead Radar Developer Educated to A-level or equivalent with numerical disciplines studied. Experience in insurance pricing, underwriting or product writing. Experienced user of Radar and Radar Live Proven experience of devising solutions to business problems. Good understanding of messaging structures and transform for various SWHs and how they interact Effective coaching of junior staff and development of pricing skills. Experience of dealing with and influencing colleagues at all levels up to, and including, senior management and directors. Ability to understand complex rating structures and offer solutions for efficient builds Self-motivated, with the drive, energy and ability to work on own initiative. Very strong planning, prioritisation and organisational skills. Delivery of high quality pricing projects from start to end with minimal oversight Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
16/05/2024
Full time
Lead Radar Developer/Pricing Analyst - HYBRID/REMOTE We have a fantastic opportunity for an experienced individual to join one of our biggest customers. They are a leading force in their industry sector and are consistently receiving awards for being a top employer who take great care looking after their staff. Lead Radar Developer We have an exciting opportunity for an Lead Pricing Implementation Analyst to join the Pricing team based in Hampshire. The Lead Implementation Analyst role will involve the management and deployment of pricing models and underwriting rules across risk and retail pricing which will be key ensuring the client meets its strategic goals. Main Responsibilities as Lead Radar Developer: Develop, validate, review and promote Radar Live models for Risk and Market Pricing. Integration of models ahead of deployment Responsible for XML changes within model Build and deployment of Percayso quote manipulation rules. Manage Radar defects arising from other areas of business from BAU/Standard/Project changes. Radar version/licence updates Enrichment capstone specification maintenance Provide impact assessments for BAU, Standard &Project changes. Ownership and maintenance of Pricing Product Spec documents Ensuring accuracy of Private Car, Commercial Vehicle, Motorcycle and Household rates and rules on internal systems and third party SWH. Management, development and coaching of more Junior Implementation Analysts. Excellent at creating innovative solutions to problems and constantly striving to improve process. Iteratively creating and improving best practices and standards for the team, and ensuring they are clearly communicated and adopted. Excellent spoken and written communication, with the ability to engage constructively in both technical and non-technical discussions at all levels. Ensure close collaboration and alignment with Product teams to ensure knowledge sharing and understanding of what the product builds are trying to achieve. Deputise for the Pricing implementation manager when necessary. Skills and experience you need as Lead Radar Developer Educated to A-level or equivalent with numerical disciplines studied. Experience in insurance pricing, underwriting or product writing. Experienced user of Radar and Radar Live Proven experience of devising solutions to business problems. Good understanding of messaging structures and transform for various SWHs and how they interact Effective coaching of junior staff and development of pricing skills. Experience of dealing with and influencing colleagues at all levels up to, and including, senior management and directors. Ability to understand complex rating structures and offer solutions for efficient builds Self-motivated, with the drive, energy and ability to work on own initiative. Very strong planning, prioritisation and organisational skills. Delivery of high quality pricing projects from start to end with minimal oversight Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Role: Unreal Engine Developer Location: Hybrid working - 2 Days Per Week in Bristol Salary: Up to £40,000 - £45,000 Are you an Unreal Engine Developer looking for a new exciting position? I am currently working with a business based out of Bristol and Portsmouth that are looking for an Unreal Engine Developer to join their team to work across many exciting projects supporting the MOD on virtual reality and simulation projects. This is an exciting opportunity to join a growing technology company. The core development team have exceptional knowledge in the defence training industry and in a few months you could too! As an Unreal Developer with my client, you will make a real difference to the success and security of their customers. They are dedicated to employee development and recognition and are committed to nurture talent and ambitious employees who help them continuously improve performance and maintain a competitive advantage. Purpose of the role: As a developer you will be responsible for delivering XR project for the defence and private sector. You will be responsible for the structure, delivery and execution of exciting projects supporting their established client base. Other responsibility will include scanning for opportunities to utilise XR tech for training modernisation to enhance the effectiveness of their clients training. On top of the continuous personal development opportunities that will be provided, you will have the chance to work across a range of projects including augmented reality, artificial intelligence, web and mobile. Responsibilities as an Unreal Engine Developer: Lead the core coding architecture for VR development projects, offering vital support to the team. Ensure assistance is provided to relevant subcontractors throughout the development and delivery phases of supporting projects. Maintain code quality using industry-standard practices and comprehensive documentation. Collaborate with the change team on VR outline or detailed proposal activities. Stay ahead of the curve by conducting horizon scanning to identify new technology, companies, and solutions in the market. Undertake any additional tasks necessary to ensure the role's success and support the Business Unit effectively. Essential Skills and Knowledge: Proven prowess in leveraging gaming technologies to create immersive experiences. Proficient in showcasing skills with Unreal, bringing creative visions to life. Tangible experience in the realm of Virtual Reality development, crafting captivating virtual worlds. Familiarity with other essential software packages including Source Control and Visual Studio. Bachelor's degree in a directly relevant field, providing a solid foundation for innovation and growth. If you feel this role matches your skill set and experience, apply today and I will be in touch. My client does not offer sponsorship for this role. All candidates must be able to provide proof of right to work in the UK.
16/05/2024
Full time
Role: Unreal Engine Developer Location: Hybrid working - 2 Days Per Week in Bristol Salary: Up to £40,000 - £45,000 Are you an Unreal Engine Developer looking for a new exciting position? I am currently working with a business based out of Bristol and Portsmouth that are looking for an Unreal Engine Developer to join their team to work across many exciting projects supporting the MOD on virtual reality and simulation projects. This is an exciting opportunity to join a growing technology company. The core development team have exceptional knowledge in the defence training industry and in a few months you could too! As an Unreal Developer with my client, you will make a real difference to the success and security of their customers. They are dedicated to employee development and recognition and are committed to nurture talent and ambitious employees who help them continuously improve performance and maintain a competitive advantage. Purpose of the role: As a developer you will be responsible for delivering XR project for the defence and private sector. You will be responsible for the structure, delivery and execution of exciting projects supporting their established client base. Other responsibility will include scanning for opportunities to utilise XR tech for training modernisation to enhance the effectiveness of their clients training. On top of the continuous personal development opportunities that will be provided, you will have the chance to work across a range of projects including augmented reality, artificial intelligence, web and mobile. Responsibilities as an Unreal Engine Developer: Lead the core coding architecture for VR development projects, offering vital support to the team. Ensure assistance is provided to relevant subcontractors throughout the development and delivery phases of supporting projects. Maintain code quality using industry-standard practices and comprehensive documentation. Collaborate with the change team on VR outline or detailed proposal activities. Stay ahead of the curve by conducting horizon scanning to identify new technology, companies, and solutions in the market. Undertake any additional tasks necessary to ensure the role's success and support the Business Unit effectively. Essential Skills and Knowledge: Proven prowess in leveraging gaming technologies to create immersive experiences. Proficient in showcasing skills with Unreal, bringing creative visions to life. Tangible experience in the realm of Virtual Reality development, crafting captivating virtual worlds. Familiarity with other essential software packages including Source Control and Visual Studio. Bachelor's degree in a directly relevant field, providing a solid foundation for innovation and growth. If you feel this role matches your skill set and experience, apply today and I will be in touch. My client does not offer sponsorship for this role. All candidates must be able to provide proof of right to work in the UK.
Location: Cambridge We're seeking an experienced Lead Mechatronic Engineer to spearhead the development of our autonomous harvesting robot. In this role, you'll design, build, and test prototypes, ensuring the system's robustness and manufacturability for market readiness. Responsibilities: Lead the design and development of the robotic platform for precision harvesting. Integrate sensors, electronics, software, and electromechanical devices into cost-effective designs. Collaborate with cross-functional teams on system integration and manufacturing processes. Conduct field trials and validation at grower sites. Manage projects, partnerships, and suppliers to meet timelines and budgets. Present technical reports and updates to senior leadership. Oversee CAD and PDM infrastructure, providing training and support. Qualifications/Experience: Degree in Mechatronic Engineering or equivalent. 5+ years of product development experience in robotics or manufacturing. Expertise in SolidWorks, Altium, and the full product development life cycle. Proficient in 3D CAD modelling, tolerance analysis, and design for manufacturability. Ability to lead projects, interpret customer needs, and translate requirements. Skilled in managing multiple projects, deadlines, and priorities. Experience with design for manufacturing principles and FEA (preferred). Familiarity with robot arm actuators, end-effectors/grippers, and soft robotics. Strong problem-solving, analytical, and organizational skills. Excellent team player with the ability to work autonomously. Proficient in MS Office tools Job Types: Full-time, Permanent
16/05/2024
Full time
Location: Cambridge We're seeking an experienced Lead Mechatronic Engineer to spearhead the development of our autonomous harvesting robot. In this role, you'll design, build, and test prototypes, ensuring the system's robustness and manufacturability for market readiness. Responsibilities: Lead the design and development of the robotic platform for precision harvesting. Integrate sensors, electronics, software, and electromechanical devices into cost-effective designs. Collaborate with cross-functional teams on system integration and manufacturing processes. Conduct field trials and validation at grower sites. Manage projects, partnerships, and suppliers to meet timelines and budgets. Present technical reports and updates to senior leadership. Oversee CAD and PDM infrastructure, providing training and support. Qualifications/Experience: Degree in Mechatronic Engineering or equivalent. 5+ years of product development experience in robotics or manufacturing. Expertise in SolidWorks, Altium, and the full product development life cycle. Proficient in 3D CAD modelling, tolerance analysis, and design for manufacturability. Ability to lead projects, interpret customer needs, and translate requirements. Skilled in managing multiple projects, deadlines, and priorities. Experience with design for manufacturing principles and FEA (preferred). Familiarity with robot arm actuators, end-effectors/grippers, and soft robotics. Strong problem-solving, analytical, and organizational skills. Excellent team player with the ability to work autonomously. Proficient in MS Office tools Job Types: Full-time, Permanent
Strategic: By supporting the project in the areas of team organization, documentation control and cost allocation in SAP/WBS, the project liaison team leader will see their role and responsibility increase with the development of the project through the design phases. Every new design phase will bring additional needs and workload, driven by the implementation and closure phases requiring a higher contribution of this function, thus a higher need of good coordination. This function provides an important assistance to the design engineers by allowing them to focus mainly in the engineering design and removing from them the workload of project organization tasks. The project liaison team leader has a key role in expansion projects to guarantee that all purchase orders of the project are correctly allocated to the correspondent WBS, hence guaranteeing a good knowledge and control of the project budget, as well as, the documentation generated by the project is correctly logged, distributed and archived Scope of the mission Integrating the project team, the project liaison team leader is responsible to lead the team which coordinates project documentation flows and archive, establishes systems to manage/track purchase orders and goods receipts, responsible management of miscellaneous non-PO purchases, establish and maintain systems for allocation of project costs in SAP/WBS, and all aspects related with the organization of the engineering team: welcoming new team members, developing individualized onboarding plans, support their needs, organize the project gate reviews and monthly review meetings Primary Tasks and responsibilities: . Onboarding of new employees: o Lead, with support from the Regional Program Director, in onboarding of new employees to the engineering organization o Work with new employees' direct supervisors to develop individual training plans tailored to the needs of their role, along with base knowledge/expectations of the engineering organization o Plan and prepare the logistic needs for new team members, including system/security access, supplies/equipment, travel arrangements, and other business support. * Cost control: o Establish and maintain systems to issue and track purchase orders in SAP, guaranteeing correct WBS allocation o Coach and Support Project Liaison to issue and track Shopping Carts (SCs), Purchase Orders (POs) and goods receipts (GRs) in SAP in a timely manner o Coach and Support Project Controls to Actively manage SAP/WBS cost allocation and highlight variations o Provide actuals per WBS to support forecasting by Project Managers o Stewardship of Engineering procurement card (ProCard) for all non-travel related miscellaneous purchases, ensuring appropriate use of Procard vs Purchase Order, leadership approval according to Local Approval Matrix (LAM) o Consolidate quarterly and monthly project cost forecast reported by PM o Update forecasts in Planisware o Oversee updating of SAP/ARIBA files o Monthly Headcount allocation to appropriate WBS accounts for all active projects & waves within the region/site o Report actual costs of the yearly Engineering department budgets * Leadership of the Liaison Team o Manage of daily miscellaneous requirements and admin tasks o Manage and delegate administrative tasks and project priorities o Manage and delegate department administrative work such as organizing the monthly department meetings, annual outing, travel, visitors, teambuilding activities, etc o Maintain and manage a healthy and motivating work environment o Improve and formalize monthly departmental reports/meeting * Leadership of the Document Control Team: o Organize, distribute and archive all project documents, guaranteeing proper archiving rules to support claims to contractors and EPCm partners o Manage the project folder access Matrix, maintain project transmittals, archiving engineering deliverables and permitting docs on project Servers * Department Communication: o Responsible for all aspect of internal and external communication within local Engineering department o Manage visual branding display in department o Work closely with HR/GSS/EHS team * Facilities management: o Responsible for facilities operations within the department o Liaise with facilities contractors, responsible to maintain engineering facilities o Managing repairs, maintenance and replacement in the engineering facilities o Working together with EHS regarding fire safety procedures in the engineering facilities * General duties: o Carry out assigned tasks and duties in a safe manner, in accordance with instructions, and to comply with environmental, health & safety rules/procedures, regulations and codes of practice. o Perform engineering and technical support to the projects when needed, undertaking any additional tasks commensurate with the role as and when required. o rules and procedures set down: Technical Profile requirements: . University degree or College diploma specializing in business administration or a technical field . Experience and/or background in industrial companies, preferably linked to engineering or . operations . Competent and fluent (written and verbal) in Spanish and English . Computer literacy with good working knowledge of the MS Office package . Experience with SAP and Ariba software . Knowledge of EHS standards and industry good practices . Must have the Knowledge, Experience and Skills to conduct their tasks in accordance with the Non-Technical Profile Requirements : . Organized . Team worker . Result oriented and timely delivery . Positive mindset . Capable to work in Matrix organizations . Problem and conflict solver . Flexible and resilient to work in ambiguous situations with limited supervision . Coaching skills . Good communication Location: . North of Spain, exact location remains confidential till at least early July . Until EOY 2024 remote work, afterwards consultants are expected to work onsite Business Travel: . Travel will be required and outside Spain reimbursed via expenses Contract: . Long term contract . Confirmation of the mission will take place before 1/7 . Official confirmation and contract creation scheduled for early July Start: . Objective +- 1st of August . Consultants can perform notice if 4-6 weeks, longer is to discuss with the manager . Consultants cannot take long holidays in July/August after start due to the high workload Languages: . Fluent In Spanish & English Rate: . Market-level Rates for Spain . All-in Rate for Remote and local presence at SPAIN . No expenses accepted Reason for Hire Specific Skills Required for Project Safety Equipment Not applicable (keep in mind that for Olen and Hoboken sites a neon vest is mandatory) Additional Safety Equipment to be provided by Supplier n.a. Travel Required? Yes Travel percentage- 10%
16/05/2024
Full time
Strategic: By supporting the project in the areas of team organization, documentation control and cost allocation in SAP/WBS, the project liaison team leader will see their role and responsibility increase with the development of the project through the design phases. Every new design phase will bring additional needs and workload, driven by the implementation and closure phases requiring a higher contribution of this function, thus a higher need of good coordination. This function provides an important assistance to the design engineers by allowing them to focus mainly in the engineering design and removing from them the workload of project organization tasks. The project liaison team leader has a key role in expansion projects to guarantee that all purchase orders of the project are correctly allocated to the correspondent WBS, hence guaranteeing a good knowledge and control of the project budget, as well as, the documentation generated by the project is correctly logged, distributed and archived Scope of the mission Integrating the project team, the project liaison team leader is responsible to lead the team which coordinates project documentation flows and archive, establishes systems to manage/track purchase orders and goods receipts, responsible management of miscellaneous non-PO purchases, establish and maintain systems for allocation of project costs in SAP/WBS, and all aspects related with the organization of the engineering team: welcoming new team members, developing individualized onboarding plans, support their needs, organize the project gate reviews and monthly review meetings Primary Tasks and responsibilities: . Onboarding of new employees: o Lead, with support from the Regional Program Director, in onboarding of new employees to the engineering organization o Work with new employees' direct supervisors to develop individual training plans tailored to the needs of their role, along with base knowledge/expectations of the engineering organization o Plan and prepare the logistic needs for new team members, including system/security access, supplies/equipment, travel arrangements, and other business support. * Cost control: o Establish and maintain systems to issue and track purchase orders in SAP, guaranteeing correct WBS allocation o Coach and Support Project Liaison to issue and track Shopping Carts (SCs), Purchase Orders (POs) and goods receipts (GRs) in SAP in a timely manner o Coach and Support Project Controls to Actively manage SAP/WBS cost allocation and highlight variations o Provide actuals per WBS to support forecasting by Project Managers o Stewardship of Engineering procurement card (ProCard) for all non-travel related miscellaneous purchases, ensuring appropriate use of Procard vs Purchase Order, leadership approval according to Local Approval Matrix (LAM) o Consolidate quarterly and monthly project cost forecast reported by PM o Update forecasts in Planisware o Oversee updating of SAP/ARIBA files o Monthly Headcount allocation to appropriate WBS accounts for all active projects & waves within the region/site o Report actual costs of the yearly Engineering department budgets * Leadership of the Liaison Team o Manage of daily miscellaneous requirements and admin tasks o Manage and delegate administrative tasks and project priorities o Manage and delegate department administrative work such as organizing the monthly department meetings, annual outing, travel, visitors, teambuilding activities, etc o Maintain and manage a healthy and motivating work environment o Improve and formalize monthly departmental reports/meeting * Leadership of the Document Control Team: o Organize, distribute and archive all project documents, guaranteeing proper archiving rules to support claims to contractors and EPCm partners o Manage the project folder access Matrix, maintain project transmittals, archiving engineering deliverables and permitting docs on project Servers * Department Communication: o Responsible for all aspect of internal and external communication within local Engineering department o Manage visual branding display in department o Work closely with HR/GSS/EHS team * Facilities management: o Responsible for facilities operations within the department o Liaise with facilities contractors, responsible to maintain engineering facilities o Managing repairs, maintenance and replacement in the engineering facilities o Working together with EHS regarding fire safety procedures in the engineering facilities * General duties: o Carry out assigned tasks and duties in a safe manner, in accordance with instructions, and to comply with environmental, health & safety rules/procedures, regulations and codes of practice. o Perform engineering and technical support to the projects when needed, undertaking any additional tasks commensurate with the role as and when required. o rules and procedures set down: Technical Profile requirements: . University degree or College diploma specializing in business administration or a technical field . Experience and/or background in industrial companies, preferably linked to engineering or . operations . Competent and fluent (written and verbal) in Spanish and English . Computer literacy with good working knowledge of the MS Office package . Experience with SAP and Ariba software . Knowledge of EHS standards and industry good practices . Must have the Knowledge, Experience and Skills to conduct their tasks in accordance with the Non-Technical Profile Requirements : . Organized . Team worker . Result oriented and timely delivery . Positive mindset . Capable to work in Matrix organizations . Problem and conflict solver . Flexible and resilient to work in ambiguous situations with limited supervision . Coaching skills . Good communication Location: . North of Spain, exact location remains confidential till at least early July . Until EOY 2024 remote work, afterwards consultants are expected to work onsite Business Travel: . Travel will be required and outside Spain reimbursed via expenses Contract: . Long term contract . Confirmation of the mission will take place before 1/7 . Official confirmation and contract creation scheduled for early July Start: . Objective +- 1st of August . Consultants can perform notice if 4-6 weeks, longer is to discuss with the manager . Consultants cannot take long holidays in July/August after start due to the high workload Languages: . Fluent In Spanish & English Rate: . Market-level Rates for Spain . All-in Rate for Remote and local presence at SPAIN . No expenses accepted Reason for Hire Specific Skills Required for Project Safety Equipment Not applicable (keep in mind that for Olen and Hoboken sites a neon vest is mandatory) Additional Safety Equipment to be provided by Supplier n.a. Travel Required? Yes Travel percentage- 10%
Request Technology - Craig Johnson
New York, New York
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Los Angeles (Downtown), California
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Lorien are supporting an established government savings bank that are expanding their proposition within the Retail Banking part of the organisation. With this, they are looking for a Head of Retail Strategy and Innovation. The role will be responsible for leading innovation and strategic thinking for customers, products and services. You will focus on the Design and Management of the banks future propositions, features and customer experience, whilst remaining in partnership with the Retail Services Senior Leadership team. The organisation are evolving and going through significant growth, 'Digital First' is their main objective whilst supporting their customers and design these services to be inclusive and accessible for all. As they aim to increase the pace at which they deliver change and enhancements to services and products, maintaining alignment with customer expectations and the increased competition in the UK savings market. Based on this, the role will include: Streamline processes. Clear process and ownership Greater focus on ongoing service innovation utilising insights and trends from wider industry. Strategy and proposition development should become less iterative and responsive, with documents reviewed and enhancements made on a more regular basis. Own the development of the organisations strategy long-term customer/Retail strategy Identify new Digital innovations to enhance customer experience including technical opportunities offered by suppliers to enrich customer offering and challenge current thinking Understand target customers, needs and barriers, and the market and economic outlook to predict future needs Define innovation approach for customer experience opportunities and problems Be the senior internal specialist for innovation and design thinking methodologies Skills Required: Strong communication skills - written and verbal - You will represent the business across the various levels and within the industry Strong Stakeholder engagement and relationships Customer Centric/Focus Strategic Thinking Forward Thinking Leadership Experience: Working in a innovation, strategy or digital environment Leading teams through transformation projects Agile Salary is paying between £70,000 - £77,000 with 27% pension, 25 days annual leave, 9 day fortnight scheme, performance related bonus plus further benefits. Deadline for applications is Sunday 19th May. Please apply if you feel you match on the above skills and would like to understand more about the role. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
15/05/2024
Full time
Lorien are supporting an established government savings bank that are expanding their proposition within the Retail Banking part of the organisation. With this, they are looking for a Head of Retail Strategy and Innovation. The role will be responsible for leading innovation and strategic thinking for customers, products and services. You will focus on the Design and Management of the banks future propositions, features and customer experience, whilst remaining in partnership with the Retail Services Senior Leadership team. The organisation are evolving and going through significant growth, 'Digital First' is their main objective whilst supporting their customers and design these services to be inclusive and accessible for all. As they aim to increase the pace at which they deliver change and enhancements to services and products, maintaining alignment with customer expectations and the increased competition in the UK savings market. Based on this, the role will include: Streamline processes. Clear process and ownership Greater focus on ongoing service innovation utilising insights and trends from wider industry. Strategy and proposition development should become less iterative and responsive, with documents reviewed and enhancements made on a more regular basis. Own the development of the organisations strategy long-term customer/Retail strategy Identify new Digital innovations to enhance customer experience including technical opportunities offered by suppliers to enrich customer offering and challenge current thinking Understand target customers, needs and barriers, and the market and economic outlook to predict future needs Define innovation approach for customer experience opportunities and problems Be the senior internal specialist for innovation and design thinking methodologies Skills Required: Strong communication skills - written and verbal - You will represent the business across the various levels and within the industry Strong Stakeholder engagement and relationships Customer Centric/Focus Strategic Thinking Forward Thinking Leadership Experience: Working in a innovation, strategy or digital environment Leading teams through transformation projects Agile Salary is paying between £70,000 - £77,000 with 27% pension, 25 days annual leave, 9 day fortnight scheme, performance related bonus plus further benefits. Deadline for applications is Sunday 19th May. Please apply if you feel you match on the above skills and would like to understand more about the role. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Sustainability Manager - Permanent - ASAP start XXX are a leading global workplace technology integrator, providing AV and managed services across multiple client partnerships globally. As the Head of Environmental Social Governance at XXX, you will provide visionary leadership in shaping and implementing ESG and sustainability strategies. Your role will encompass comprehensive reporting, including ESG, Scope 1, 2, and 3, as well as managing compliance with the BSI 14001 Standard. After establishing the ESG objectives and targets, the in-house Sustainability Manager will need to continuously monitor the outcome and report as per the deliverables in the responsibilities below. Key Responsibilities ESG & Sustainability Strategy: develop, execute, and oversee a comprehensive ESG and sustainability strategy aligned with our corporate mission, values, and long-term objectives whilst ensuring alignment with global standards and investor expectations. Scope 1, 2 and 3 reporting: oversee the collection, analysis, and reporting of Scope 1, 2 & 3 data to demonstrate environmental impact and progress. BSI 14001 Standard Management: manage the continuous improvement of BSI 14001 Environmental Management System (EMS) to maintain certification. Stakeholder Engagement: foster relationships with internal and external stakeholders, including employees, clients, suppliers, and industry peers, to promote ESG and sustainability collaboration and support. Sustainability Initiatives: plan and execute sustainability programs, emphasising resource efficiency, responsible sourcing, and circular economy principles. Ethical Practices: ensure ethical practices throughout our operations, including fair labour, diversity, and anti-corruption measures. Community Engagement: develop partnerships with local communities, contributing to philanthropic activities, volunteerism, and community-based projects. ESG & Sustainability Reporting: prepare and publish annual ESG and sustainability reports, adhering to relevant regulations, global reporting frameworks, and investor disclosure requirements. Risk Management: identify and mitigate ESG and sustainability-related risks through proactive measures and strategy development. Innovation & Best Practices: stay informed of ESG and sustainability trends, emerging best practices, and industry benchmarks, and integrate these into our initiatives. Supplier Engagement: work closely with our suppliers to promote sustainable practices, ensure ethical sourcing, and responsible production methods. Ensure improvement is measured and tracked. Glidepath to Net-Zeo: provide a transition programme identifying clear milestones and industry recognised certifications including EcoVadis, SBTI etc. Requirements Bachelor's degree in ESG, sustainability, business, or a related field (Masters' degree preferred). Leadership experience in ESG & Sustainability, preferably within the workplace technology industry. Demonstrated experience in ESG reporting, Scope 1, 2 & 3 emissions, and BSI 14001 management. Exceptional communication, stakeholder management, and leadership skills. Strong analytical and problem-solving abilities. Ability to inspire and lead cross-function teams toward ESG & sustainability goals. Familiarity with ESG reporting and relevant certifications. A strong commitment to advancing social responsibility and sustainability as drivers of positive change. Genuine passion for ESG and eager to become part of our ambitious plans. Proven track record and experience creating and deploying ESG processes. Experience in sustainability management and strategy development. If you are looking for your next permanent position, contact me on the details below.
15/05/2024
Full time
Sustainability Manager - Permanent - ASAP start XXX are a leading global workplace technology integrator, providing AV and managed services across multiple client partnerships globally. As the Head of Environmental Social Governance at XXX, you will provide visionary leadership in shaping and implementing ESG and sustainability strategies. Your role will encompass comprehensive reporting, including ESG, Scope 1, 2, and 3, as well as managing compliance with the BSI 14001 Standard. After establishing the ESG objectives and targets, the in-house Sustainability Manager will need to continuously monitor the outcome and report as per the deliverables in the responsibilities below. Key Responsibilities ESG & Sustainability Strategy: develop, execute, and oversee a comprehensive ESG and sustainability strategy aligned with our corporate mission, values, and long-term objectives whilst ensuring alignment with global standards and investor expectations. Scope 1, 2 and 3 reporting: oversee the collection, analysis, and reporting of Scope 1, 2 & 3 data to demonstrate environmental impact and progress. BSI 14001 Standard Management: manage the continuous improvement of BSI 14001 Environmental Management System (EMS) to maintain certification. Stakeholder Engagement: foster relationships with internal and external stakeholders, including employees, clients, suppliers, and industry peers, to promote ESG and sustainability collaboration and support. Sustainability Initiatives: plan and execute sustainability programs, emphasising resource efficiency, responsible sourcing, and circular economy principles. Ethical Practices: ensure ethical practices throughout our operations, including fair labour, diversity, and anti-corruption measures. Community Engagement: develop partnerships with local communities, contributing to philanthropic activities, volunteerism, and community-based projects. ESG & Sustainability Reporting: prepare and publish annual ESG and sustainability reports, adhering to relevant regulations, global reporting frameworks, and investor disclosure requirements. Risk Management: identify and mitigate ESG and sustainability-related risks through proactive measures and strategy development. Innovation & Best Practices: stay informed of ESG and sustainability trends, emerging best practices, and industry benchmarks, and integrate these into our initiatives. Supplier Engagement: work closely with our suppliers to promote sustainable practices, ensure ethical sourcing, and responsible production methods. Ensure improvement is measured and tracked. Glidepath to Net-Zeo: provide a transition programme identifying clear milestones and industry recognised certifications including EcoVadis, SBTI etc. Requirements Bachelor's degree in ESG, sustainability, business, or a related field (Masters' degree preferred). Leadership experience in ESG & Sustainability, preferably within the workplace technology industry. Demonstrated experience in ESG reporting, Scope 1, 2 & 3 emissions, and BSI 14001 management. Exceptional communication, stakeholder management, and leadership skills. Strong analytical and problem-solving abilities. Ability to inspire and lead cross-function teams toward ESG & sustainability goals. Familiarity with ESG reporting and relevant certifications. A strong commitment to advancing social responsibility and sustainability as drivers of positive change. Genuine passion for ESG and eager to become part of our ambitious plans. Proven track record and experience creating and deploying ESG processes. Experience in sustainability management and strategy development. If you are looking for your next permanent position, contact me on the details below.
The successful Senior level Data Scientist/Engineer will ideally have experience within the Secure Gov domain, as well as: Hands-on experience of applying data science or machine learning in Defence/Security, wider public sector, or in academia Deep understanding of the Defence and Security sector and the opportunities for transformation from AI & Data One programming language eg Java/Python/C++ Cloud technologies (AWS) Machine Learning knowledge Above and beyond technology - we're looking for passionate Engineers, providing complex, innovative solutions to Customers. Always looking to improve and seek out the best approach. In return, you will be working for a leading Management Consultancy with clients spanning Central Government, Law Enforcement, Justice & Home Affairs. Being involved with cutting-edge projects, Consultants refer to as Futuristic, your technical skills will truly be kept ahead of the curve. Active DV clearance is required for this position. For more information, please don't hesitate to get in touch - (see below)
15/05/2024
Full time
The successful Senior level Data Scientist/Engineer will ideally have experience within the Secure Gov domain, as well as: Hands-on experience of applying data science or machine learning in Defence/Security, wider public sector, or in academia Deep understanding of the Defence and Security sector and the opportunities for transformation from AI & Data One programming language eg Java/Python/C++ Cloud technologies (AWS) Machine Learning knowledge Above and beyond technology - we're looking for passionate Engineers, providing complex, innovative solutions to Customers. Always looking to improve and seek out the best approach. In return, you will be working for a leading Management Consultancy with clients spanning Central Government, Law Enforcement, Justice & Home Affairs. Being involved with cutting-edge projects, Consultants refer to as Futuristic, your technical skills will truly be kept ahead of the curve. Active DV clearance is required for this position. For more information, please don't hesitate to get in touch - (see below)
We are currently seeking a Chief Wireless Systems Design Expert (on behalf of a global Wireless System Technology OEM) to join our research center at the Stockholm office. This pivotal role entails leading the Wireless Research team in the research, design, and implementation of next-generation wireless systems. The responsibilities including driving internal research projects and managing external research cooperation projects with leading Universities, tasking with aligning resources and spearheading technology exploration, innovation, and implementation to address the challenges of future wireless communication systems design. What you should have: Extensive industrial experience exceeding 15 years in system design of wireless communication. Ability to gain insight into future wireless system evolution requirements and technology trends, deeply understanding customer needs, focusing on core scenarios, and exploring core values. Proficiency in identifying competitive technical directions in industry development and technical domains. Skill in proposing platform vision, building consensus, and formulating technology development strategies. Leadership in developing strategic and business plans for the wireless domain, fostering competitiveness and technology investment strategies. Proficiency in implementing strategies through strategic planning and business planning to develop irreplaceable and technologically disruptive products. Established track record in establishing interaction and deep cooperation with top resources and research institutes in the European industry and academia, guiding industry technology investment. Proficiency in organizing efforts to implement planning and target setting of technical research projects, achieving breakthroughs in key technologies through technical projects, and maintaining a leading position in competitiveness. Key Capabilities: Successful experience in wireless technology insight and planning, demonstrating foresighted technical insight and successful planning experience in new systems, new forms, and new technologies. Technical insight into the evolution trend of wireless and base station-related fields, sensitivity to technical innovations brought by new theories, services, and technologies, and ability to conduct research on the initiation and implementation of technical projects. Technical understanding of wireless systems and continuous learning capability, demonstrating high sensitivity to and interest in new technologies and corresponding principles, and developing profound and extensive technical skills. Capability of converting technologies into business opportunities, leading in defining the core objectives of technology research projects, breaking down objectives into key technologies of each domain, and integrating business requirements and technology planning. Technical decision-making capability, ability to decide the direction of technical research, grasp major contradictions and aspects of contradictions, and match market requirements and pace requirements. If you possess strong leadership and communication skills, with a passion and interest in future research in communication technologies, this is your opportunity to unleash your skills and expertise in an international and multicultural work environment.
15/05/2024
We are currently seeking a Chief Wireless Systems Design Expert (on behalf of a global Wireless System Technology OEM) to join our research center at the Stockholm office. This pivotal role entails leading the Wireless Research team in the research, design, and implementation of next-generation wireless systems. The responsibilities including driving internal research projects and managing external research cooperation projects with leading Universities, tasking with aligning resources and spearheading technology exploration, innovation, and implementation to address the challenges of future wireless communication systems design. What you should have: Extensive industrial experience exceeding 15 years in system design of wireless communication. Ability to gain insight into future wireless system evolution requirements and technology trends, deeply understanding customer needs, focusing on core scenarios, and exploring core values. Proficiency in identifying competitive technical directions in industry development and technical domains. Skill in proposing platform vision, building consensus, and formulating technology development strategies. Leadership in developing strategic and business plans for the wireless domain, fostering competitiveness and technology investment strategies. Proficiency in implementing strategies through strategic planning and business planning to develop irreplaceable and technologically disruptive products. Established track record in establishing interaction and deep cooperation with top resources and research institutes in the European industry and academia, guiding industry technology investment. Proficiency in organizing efforts to implement planning and target setting of technical research projects, achieving breakthroughs in key technologies through technical projects, and maintaining a leading position in competitiveness. Key Capabilities: Successful experience in wireless technology insight and planning, demonstrating foresighted technical insight and successful planning experience in new systems, new forms, and new technologies. Technical insight into the evolution trend of wireless and base station-related fields, sensitivity to technical innovations brought by new theories, services, and technologies, and ability to conduct research on the initiation and implementation of technical projects. Technical understanding of wireless systems and continuous learning capability, demonstrating high sensitivity to and interest in new technologies and corresponding principles, and developing profound and extensive technical skills. Capability of converting technologies into business opportunities, leading in defining the core objectives of technology research projects, breaking down objectives into key technologies of each domain, and integrating business requirements and technology planning. Technical decision-making capability, ability to decide the direction of technical research, grasp major contradictions and aspects of contradictions, and match market requirements and pace requirements. If you possess strong leadership and communication skills, with a passion and interest in future research in communication technologies, this is your opportunity to unleash your skills and expertise in an international and multicultural work environment.