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.
Configuration Engineer £43ph (Umbrella, Inside IR35) Lincoln (Regular home working available) Initial 6 months An experienced Configuration Engineer is required for our Lincoln site, preferably within the Defence and Aerospace Sector; you will be required to discharge the 5 key Configuration activities into IPT's across all life cycle phases of a Programme. Within this role, you shall give clear direction into the IPT on C&DM process and tools be that at System Requirements, System level, Software, or hardware. In doing so, you must be prepared to 'challenge the norm' and support the IPT's in process tailoring to fit the life cycle phase and/or context of a Programme As a Configuration Engineer, you are expected to: Drive a pro-active approach to C&DM into IPT's Support the Head of Configuration and Data Management in encouraging new ideas and innovative solutions into the IPT and the Line of Business. (LoB) As an individual, you are expected: To resolve C&DM issues within an IPT by making proposals and driving through solutions To build and manage Customer and Supplier relationships To develop and promote knowledge and use of PLM Key Responsibility Areas Configuration Management Planning including generation and review of CM Plan Configuration Identification Change Control - Must have had experience in operating Change Control Boards including Configuration status input to the Board Configuration Status Accounting with emphasis on the generation of Configuration Baselines Verification and Audit (led FCA/PCA) Working hand-in-hand with our engineering delivery teams to ensure the Project dataset is maintained and configuration controlled Skills, Qualifications & Knowledge Required A good understanding of Configuration Management in accordance with DEF STAN 05-57. Excellent practical understanding of the five key elements of Configuration Management: Planning, Identification, Change Management, Status Accounting and Audit/Verification Document management experience including delivery and receipt within the bounds of ITAR and Export controls Software Configuration Management at the point of release into the Product structure Provided C&DM input to Design Reviews and Certification (Configuration Baseline Management) Strong Administration Skills with an attention to detail - you are required to have a logical mind-set
17/05/2024
Project-based
Configuration Engineer £43ph (Umbrella, Inside IR35) Lincoln (Regular home working available) Initial 6 months An experienced Configuration Engineer is required for our Lincoln site, preferably within the Defence and Aerospace Sector; you will be required to discharge the 5 key Configuration activities into IPT's across all life cycle phases of a Programme. Within this role, you shall give clear direction into the IPT on C&DM process and tools be that at System Requirements, System level, Software, or hardware. In doing so, you must be prepared to 'challenge the norm' and support the IPT's in process tailoring to fit the life cycle phase and/or context of a Programme As a Configuration Engineer, you are expected to: Drive a pro-active approach to C&DM into IPT's Support the Head of Configuration and Data Management in encouraging new ideas and innovative solutions into the IPT and the Line of Business. (LoB) As an individual, you are expected: To resolve C&DM issues within an IPT by making proposals and driving through solutions To build and manage Customer and Supplier relationships To develop and promote knowledge and use of PLM Key Responsibility Areas Configuration Management Planning including generation and review of CM Plan Configuration Identification Change Control - Must have had experience in operating Change Control Boards including Configuration status input to the Board Configuration Status Accounting with emphasis on the generation of Configuration Baselines Verification and Audit (led FCA/PCA) Working hand-in-hand with our engineering delivery teams to ensure the Project dataset is maintained and configuration controlled Skills, Qualifications & Knowledge Required A good understanding of Configuration Management in accordance with DEF STAN 05-57. Excellent practical understanding of the five key elements of Configuration Management: Planning, Identification, Change Management, Status Accounting and Audit/Verification Document management experience including delivery and receipt within the bounds of ITAR and Export controls Software Configuration Management at the point of release into the Product structure Provided C&DM input to Design Reviews and Certification (Configuration Baseline Management) Strong Administration Skills with an attention to detail - you are required to have a logical mind-set
Your new role We are looking for a Database Administrator to develop, implement, and maintain the 24/7 corporate database infrastructure for the organisation. The role also involves supporting the enterprise-wide server and storage infrastructure, computer information systems, applications software, and web-based service delivery. Design, implement, maintain and support the database and associated infrastructure to ensure a robust, reliable, efficient and secure operation of the systems and services. Undertake a key responsibility and/or provide backup cover across the team, such as for selected server and storage infrastructure, operating systems, application software, and web-based service delivery, including effective liaison with contracted external suppliers and ensuring alignment with agreed technology and enterprise systems strategy, service requirements, security arrangements, and data exchange and inter-operability requirements. Installation, configuration, and upgrades to database systems and applications software as required, including server virtualisation where applicable. Maintain data standards, including adherence to the Data Protection Act. Monitor and manage systems performance and usage, taking baselines, recording trends and initiation prompt and appropriate action to resolve faults and problems, maintain services and increase capacity when required. Implementation, monitoring and maintenance of agreed standards, services, access arrangements, and security measures Comply with agreed change management procedures and 'at risk' times for the implementation of changes, including taking account of organisation's requirements and providing adequate notice and information for users Test and implement new technologies and services in accordance with agreed strategic development priorities and service requirements, and in conjunction with other substantive and project teams. Plan and test systems business continuity and disaster recovery arrangements, including associated documentation, risk registers, diagrams, and action scripts Assist the Head of IT Operations with the analysis, evaluation, and procurement of hardware and software solutions required for the development and maintenance of the provision. What you'll need to succeed Substantial proven practical expertise and experience in supporting large corporate systems and applications in a large enterprise networked environment at an appropriate level of responsibility Proven knowledge of server operating systems and virtualisation techniques Proven specialist understanding, expertise and experience appropriate to a designated key responsibility A good understanding of the systems and services required to support learning, teaching, research, and university business and administration requirements. A good understanding of information security principles and best practice. Experience in: Windows and SQL server systems, Active Directory Novell Netware systems, Zenworks, e-Directory Linux (SUSE) systems Sun Solaris Unix systems, NIS+ Lotus Domino MS Exchange and mail services Web Servers, Apache, Tomcat Experience across the Oracle suite Data warehouse infrastructure, data archive solutions Storage area networks, volume management Anti-virus software Technical architectures and development environments inc JAVA, .NET and Visual C++ What you'll get in return A permanent role paying up to £53,000pa + benefits. The role is based in Hertfordshire and hybrid working is on offer. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
17/05/2024
Full time
Your new role We are looking for a Database Administrator to develop, implement, and maintain the 24/7 corporate database infrastructure for the organisation. The role also involves supporting the enterprise-wide server and storage infrastructure, computer information systems, applications software, and web-based service delivery. Design, implement, maintain and support the database and associated infrastructure to ensure a robust, reliable, efficient and secure operation of the systems and services. Undertake a key responsibility and/or provide backup cover across the team, such as for selected server and storage infrastructure, operating systems, application software, and web-based service delivery, including effective liaison with contracted external suppliers and ensuring alignment with agreed technology and enterprise systems strategy, service requirements, security arrangements, and data exchange and inter-operability requirements. Installation, configuration, and upgrades to database systems and applications software as required, including server virtualisation where applicable. Maintain data standards, including adherence to the Data Protection Act. Monitor and manage systems performance and usage, taking baselines, recording trends and initiation prompt and appropriate action to resolve faults and problems, maintain services and increase capacity when required. Implementation, monitoring and maintenance of agreed standards, services, access arrangements, and security measures Comply with agreed change management procedures and 'at risk' times for the implementation of changes, including taking account of organisation's requirements and providing adequate notice and information for users Test and implement new technologies and services in accordance with agreed strategic development priorities and service requirements, and in conjunction with other substantive and project teams. Plan and test systems business continuity and disaster recovery arrangements, including associated documentation, risk registers, diagrams, and action scripts Assist the Head of IT Operations with the analysis, evaluation, and procurement of hardware and software solutions required for the development and maintenance of the provision. What you'll need to succeed Substantial proven practical expertise and experience in supporting large corporate systems and applications in a large enterprise networked environment at an appropriate level of responsibility Proven knowledge of server operating systems and virtualisation techniques Proven specialist understanding, expertise and experience appropriate to a designated key responsibility A good understanding of the systems and services required to support learning, teaching, research, and university business and administration requirements. A good understanding of information security principles and best practice. Experience in: Windows and SQL server systems, Active Directory Novell Netware systems, Zenworks, e-Directory Linux (SUSE) systems Sun Solaris Unix systems, NIS+ Lotus Domino MS Exchange and mail services Web Servers, Apache, Tomcat Experience across the Oracle suite Data warehouse infrastructure, data archive solutions Storage area networks, volume management Anti-virus software Technical architectures and development environments inc JAVA, .NET and Visual C++ What you'll get in return A permanent role paying up to £53,000pa + benefits. The role is based in Hertfordshire and hybrid working is on offer. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
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
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.
The role As QHSSE Coordinator you are responsible for SEA-KIT s Quality, Health, Safety, Security and Environment (QHSSE) guidelines and for ensuring that the company is in compliance with published policies, supporting standards and legislative framework. You coordinate and lead the QHSSE assurance activities for SEA-KIT, ensuring high standards are achieved and maintained across the company and its activities, and specifically the build/fit-out of its uncrewed surface vessels (USVs). Lead investigations into HSE incidents and near misses and coordinate the actions and responses arising from these. Provide day-to-day QHSSE advice and active assistance by ensuring that good standards and practices are identified, developed, implemented and adhered to across SEA-KIT s design, build, testing and commissioning operations. Define, lead and oversee all Quality processes in SEA-KIT s design, build and testing of its products. Perform quality checks and instigate problem solving to investigate and resolve any issues identified. Review non-conformances identified during the build/fit-out and testing of SEA-KIT s USVs to improve the quality of the vessel design and build. Lead the company s ISO 9001 annual recertification, and oversee external reviews and audits to maintain certification. Lead the implementation of required management systems and processes required for additional ISO certifications. SEA-KIT s head office and manufacturing yard is based in Tollesbury, Essex. The role involves some travel within the UK and potentially to international locations. Responsibilities Generate and cultivate a strong culture of HSE awareness. Management, implementation, maintenance and continuous improvement of the company s management system. Ensure adherence to relevant procedures. Lead investigations into HSE incidents and near misses. Review all Hazard Observation Cards (HOCs) submitted. Coordinate and close out actions arising from incidents, near misses and HOCs. Generate and cultivate a culture of high quality workmanship and rigorous testing standards. Ensure adherence by SEA-KIT staff and contracted third parties to relevant procedures Ensure QA/QC processes are in place and followed by all relevant staff. Monitor and update the company on updates or changes to legal or regulatory requirements. Oversee updates to and reviews of the company s Quality and HSE processes and procedures. Review all non-conformances and ensure follow-up actions are implemented and closed out. Provide management updates at monthly HSE meetings and monthly/quarterly management team meetings, including reports for senior management as required. Who we re looking for You have the right to work in the UK. You hold a bachelor s degree (preferred). You have a track record in Quality and HSE systems and assurance, with relevant QHSSE experience in a manufacturing and/or project environment. Experience in the implementation and maintenance of a Quality Management System/ ISO certification is essential. You are well organised, with good analytical and critical thinking skills, and excellent verbal and written communication skills. You are flexible and will be available for weekend or out of hours work, and willing and able to travel as required. What we offer SEA-KIT provides a positive and dynamic work environment. You will gain immersive experience, where you will be at the forefront of cutting-edge technology, with opportunities to stretch and develop yourself whilst contributing to the emerging market of carbon-reducing uncrewed surface vessels.
15/05/2024
Full time
The role As QHSSE Coordinator you are responsible for SEA-KIT s Quality, Health, Safety, Security and Environment (QHSSE) guidelines and for ensuring that the company is in compliance with published policies, supporting standards and legislative framework. You coordinate and lead the QHSSE assurance activities for SEA-KIT, ensuring high standards are achieved and maintained across the company and its activities, and specifically the build/fit-out of its uncrewed surface vessels (USVs). Lead investigations into HSE incidents and near misses and coordinate the actions and responses arising from these. Provide day-to-day QHSSE advice and active assistance by ensuring that good standards and practices are identified, developed, implemented and adhered to across SEA-KIT s design, build, testing and commissioning operations. Define, lead and oversee all Quality processes in SEA-KIT s design, build and testing of its products. Perform quality checks and instigate problem solving to investigate and resolve any issues identified. Review non-conformances identified during the build/fit-out and testing of SEA-KIT s USVs to improve the quality of the vessel design and build. Lead the company s ISO 9001 annual recertification, and oversee external reviews and audits to maintain certification. Lead the implementation of required management systems and processes required for additional ISO certifications. SEA-KIT s head office and manufacturing yard is based in Tollesbury, Essex. The role involves some travel within the UK and potentially to international locations. Responsibilities Generate and cultivate a strong culture of HSE awareness. Management, implementation, maintenance and continuous improvement of the company s management system. Ensure adherence to relevant procedures. Lead investigations into HSE incidents and near misses. Review all Hazard Observation Cards (HOCs) submitted. Coordinate and close out actions arising from incidents, near misses and HOCs. Generate and cultivate a culture of high quality workmanship and rigorous testing standards. Ensure adherence by SEA-KIT staff and contracted third parties to relevant procedures Ensure QA/QC processes are in place and followed by all relevant staff. Monitor and update the company on updates or changes to legal or regulatory requirements. Oversee updates to and reviews of the company s Quality and HSE processes and procedures. Review all non-conformances and ensure follow-up actions are implemented and closed out. Provide management updates at monthly HSE meetings and monthly/quarterly management team meetings, including reports for senior management as required. Who we re looking for You have the right to work in the UK. You hold a bachelor s degree (preferred). You have a track record in Quality and HSE systems and assurance, with relevant QHSSE experience in a manufacturing and/or project environment. Experience in the implementation and maintenance of a Quality Management System/ ISO certification is essential. You are well organised, with good analytical and critical thinking skills, and excellent verbal and written communication skills. You are flexible and will be available for weekend or out of hours work, and willing and able to travel as required. What we offer SEA-KIT provides a positive and dynamic work environment. You will gain immersive experience, where you will be at the forefront of cutting-edge technology, with opportunities to stretch and develop yourself whilst contributing to the emerging market of carbon-reducing uncrewed surface vessels.
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.
Harvey Nash are delighted to be recruiting for a Lead D365 Engineer on behalf of our client. With a diverse workforce and a long-standing tradition of delivering top-tier services, this organisation has established itself as a leader in its field. We are currently seeking a Lead Engineer to spearhead a team dedicated to developing, customising, and maintaining their Microsoft, Sales, and CRM 365 solutions. Requirements: Five or more years of experience in developing, customizing, configuring, and maintaining Microsoft D365. Proven expertise in extending/managing data schema changes within the common data model (Microsoft Dataverse/Higher Education Accelerator). Demonstrated ability to analyze and diagnose issues in Dynamics 365. Proficiency in web services, REST APIs, and integration tools. Sound understanding of Microsoft Azure and its integrations with Dynamics 365. Key Attributes: Experience in supporting and mentoring team members to facilitate personal and professional growth. Strong initiative, coupled with excellent organizational, planning, and self-management skills. Effective communication and interpersonal skills, with the ability to engage with diverse collaborators and stakeholders at all levels. Outstanding problem-solving and analytical abilities. Proficient verbal and written communication skills. Capability to lead and motivate a team effectively. Desired Skills: Microsoft Dynamics 365 CRM certifications (eg, MB-200, MB-400). Familiarity with the Power Platform, including Power Apps and Power Automate. Competence in programming languages/frameworks such as C#, JavaScript, and React. Experience in developing complex reports and code in tools like Power BI. Knowledge or experience in Agile (Scrum) and Azure DevOps methodologies. In addition to a challenging and rewarding role, this organisation offers a competitive salary of up to 80k along with an attractive benefits package, including generous holiday entitlement, pension schemes, and opportunities for personal and professional development. Please apply today.
15/05/2024
Full time
Harvey Nash are delighted to be recruiting for a Lead D365 Engineer on behalf of our client. With a diverse workforce and a long-standing tradition of delivering top-tier services, this organisation has established itself as a leader in its field. We are currently seeking a Lead Engineer to spearhead a team dedicated to developing, customising, and maintaining their Microsoft, Sales, and CRM 365 solutions. Requirements: Five or more years of experience in developing, customizing, configuring, and maintaining Microsoft D365. Proven expertise in extending/managing data schema changes within the common data model (Microsoft Dataverse/Higher Education Accelerator). Demonstrated ability to analyze and diagnose issues in Dynamics 365. Proficiency in web services, REST APIs, and integration tools. Sound understanding of Microsoft Azure and its integrations with Dynamics 365. Key Attributes: Experience in supporting and mentoring team members to facilitate personal and professional growth. Strong initiative, coupled with excellent organizational, planning, and self-management skills. Effective communication and interpersonal skills, with the ability to engage with diverse collaborators and stakeholders at all levels. Outstanding problem-solving and analytical abilities. Proficient verbal and written communication skills. Capability to lead and motivate a team effectively. Desired Skills: Microsoft Dynamics 365 CRM certifications (eg, MB-200, MB-400). Familiarity with the Power Platform, including Power Apps and Power Automate. Competence in programming languages/frameworks such as C#, JavaScript, and React. Experience in developing complex reports and code in tools like Power BI. Knowledge or experience in Agile (Scrum) and Azure DevOps methodologies. In addition to a challenging and rewarding role, this organisation offers a competitive salary of up to 80k along with an attractive benefits package, including generous holiday entitlement, pension schemes, and opportunities for personal and professional development. Please apply today.
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.
One of our leading PLC clients is looking for a Data & Analytics Governance and Management Manager to lead a team of analysts and manage the data governance framework and processes to ensure best practice. Role: Data & Analytics Governance and Management Manager Salary: £60k - £77k depending on experience Location: 2-3 days a week in a Midlands office Hiring Manager describes the role as: "We are seeking a D&A Governance & Management Manager who will be responsible for leading a team of Analysts within the IT Function. You will be tasked with designing and delivering a data governance and management framework across the business, ensuring all D&A processes align to best practice. We are currently undergoing a significant company-wide target operating model change agenda, that will be predominantly tech-driven and this role will play a big part in supporting the success of this major change. Your role will be to work with the various business functions and educate the business on how to manage data effectively and provide insights or potential solutions to the business." Responsibilities: Develop the best practice framework for how data will be used by the business, including data management strategies and policies Support the Head of Sata & Analytics in leading the efforts to create a robust and effective data management framework Oversee a team of D&A Analysts and support the development of analytics solutions helping the business to drive insights from their data Engage with business stakeholders at all levels to understand their requirements and educate on data management and governance best practice Identify opportunities for process improvement in data and analytics practices Ensure compliance with IT governance and regulations Key requirements: Experience creating and delivering D&A Governance & Management frameworks Extensive experience within data management and data governance within a complex large organisation Have led and managed teams of D&A analysts, developing their skills to ensure best practice Strong Stakeholder management skills, able to engage with stakeholders at all levels of the business This is a permanent opportunity , with 2-3 days a week travel required to a Midlands location. If you feel you match the above requirements, then please apply with your updated CV. Please note, due to the number of applications we may not be able to respond to all unsuccessful applicants.
14/05/2024
Full time
One of our leading PLC clients is looking for a Data & Analytics Governance and Management Manager to lead a team of analysts and manage the data governance framework and processes to ensure best practice. Role: Data & Analytics Governance and Management Manager Salary: £60k - £77k depending on experience Location: 2-3 days a week in a Midlands office Hiring Manager describes the role as: "We are seeking a D&A Governance & Management Manager who will be responsible for leading a team of Analysts within the IT Function. You will be tasked with designing and delivering a data governance and management framework across the business, ensuring all D&A processes align to best practice. We are currently undergoing a significant company-wide target operating model change agenda, that will be predominantly tech-driven and this role will play a big part in supporting the success of this major change. Your role will be to work with the various business functions and educate the business on how to manage data effectively and provide insights or potential solutions to the business." Responsibilities: Develop the best practice framework for how data will be used by the business, including data management strategies and policies Support the Head of Sata & Analytics in leading the efforts to create a robust and effective data management framework Oversee a team of D&A Analysts and support the development of analytics solutions helping the business to drive insights from their data Engage with business stakeholders at all levels to understand their requirements and educate on data management and governance best practice Identify opportunities for process improvement in data and analytics practices Ensure compliance with IT governance and regulations Key requirements: Experience creating and delivering D&A Governance & Management frameworks Extensive experience within data management and data governance within a complex large organisation Have led and managed teams of D&A analysts, developing their skills to ensure best practice Strong Stakeholder management skills, able to engage with stakeholders at all levels of the business This is a permanent opportunity , with 2-3 days a week travel required to a Midlands location. If you feel you match the above requirements, then please apply with your updated CV. Please note, due to the number of applications we may not be able to respond to all unsuccessful applicants.
Perm - Senior Natural Gas Operator - Oil Trading - Copenhagen, Denmark Global Oil Trading company requires Senior Natural Gas Operator to work with Global Operations and Trading teams. The role Review and comment on contracts/tenders to ensure consistency with the trade ticket/recap. Execute daily operational activities: Conduct daily position checks for all European hubs Check and circulate send-outs for all terminals Executes a trade for transport/gas with their scheduling counterpart, keeping Traders in copy of confirms whenever changes to schedules, or pipeline restrictions indicate an unbalanced position, logging the trade and entering in corporate resource management platform. Appoint third party providers in line with group policy Liaise/coordinate with Finance, providing them with accurate and timely data needed for issuing of L/C's and obtaining P/Us Send daily nominations for within-day and day ahead; highlight imbalances to traders (if any) for all hubs within scope of role and act on the market to Handle all aspects of customs exportation/importation where applicable Ensure timely invoicing/payment of cargoes Monitor accounts receivables and control issue of interest invoices where applicable Maintain good records on all operations Ensure that corporate resources management platform is updated regularly and at all times reflects the latest information available/exceptions are kept to a minimum Monitor and advise deals desk of all costs related with each transaction (P&L awareness) Ensure operations are optimised to best commercial advantage, ensuring all contractual obligations are met (eg minimising/maximising of volumes/reducing exposures). Participate in short and long-term transport capacity auctions after consulting with Trading team. Send cost analysis for decision-making purposes. Assisting in storage auctions preparations, being able to analyse and process documentary, financial and other requirements and communicate them to all involved teams. Negotiate the Terminal sendouts with the Terminal Operators within contractual realms to maximise the value for the natural gas book. Manage storage logistics, handling day-to-day ops, checking storage levels, booking capacities for ops, understanding potential for penalties. Closing swap trades directly with c/p and matching trades on daily basis with all c/p's. Update storage injections/withdrawals on regular basis to gauge proper start of day position for each day along with P&L reconciliation for deals desk. Complete storage reconciliations; identify and investigate loss/gain differences. Understand regulatory changes and potential impacts to business. Maximise recoveries and ensure that all claims to third parties are correctly documented and presented. Secure payment of third party claims. Maintain good working practises with other trade support divisions - claims/deals desk/trade finance/chartering Establish and/or maintain good working relationships with contractual operations counterparts/third party service providers on a regular basis Participate in setting-up new business, checking GTC's for each hub and escalating risks and red flags accordingly. Training of less experienced members of the operations team to develop and increase knowledge/commercial awareness. Follow strictly internal procedures and company's policies. Adhere to Code of Conduct/HSEC Policy and Business Principles. Identify and escalate operational issues to Regional Manager seeking guidance as appropriate. Possess technical skills to improve processes and build automation Your background: Able to interpret the operational requirements of each contract, can review and comment on operational aspects of same. Understands the basic legal framework supporting natural gas contracts Has a good understanding of common pipeline operations and terminology. Able to ensure satisfactory commercial operation of natural gas flows under minimal supervision. Has a good understanding of relevant market infrastructure and business practices, has experience in communications with pipeline and storage operators Has experience in handling pipeline transport and storage capacity auctions. Has a good understanding of the different types of financial instruments and their uses. If interested in this position please send me your updated CV or email for a confidential call.
14/05/2024
Full time
Perm - Senior Natural Gas Operator - Oil Trading - Copenhagen, Denmark Global Oil Trading company requires Senior Natural Gas Operator to work with Global Operations and Trading teams. The role Review and comment on contracts/tenders to ensure consistency with the trade ticket/recap. Execute daily operational activities: Conduct daily position checks for all European hubs Check and circulate send-outs for all terminals Executes a trade for transport/gas with their scheduling counterpart, keeping Traders in copy of confirms whenever changes to schedules, or pipeline restrictions indicate an unbalanced position, logging the trade and entering in corporate resource management platform. Appoint third party providers in line with group policy Liaise/coordinate with Finance, providing them with accurate and timely data needed for issuing of L/C's and obtaining P/Us Send daily nominations for within-day and day ahead; highlight imbalances to traders (if any) for all hubs within scope of role and act on the market to Handle all aspects of customs exportation/importation where applicable Ensure timely invoicing/payment of cargoes Monitor accounts receivables and control issue of interest invoices where applicable Maintain good records on all operations Ensure that corporate resources management platform is updated regularly and at all times reflects the latest information available/exceptions are kept to a minimum Monitor and advise deals desk of all costs related with each transaction (P&L awareness) Ensure operations are optimised to best commercial advantage, ensuring all contractual obligations are met (eg minimising/maximising of volumes/reducing exposures). Participate in short and long-term transport capacity auctions after consulting with Trading team. Send cost analysis for decision-making purposes. Assisting in storage auctions preparations, being able to analyse and process documentary, financial and other requirements and communicate them to all involved teams. Negotiate the Terminal sendouts with the Terminal Operators within contractual realms to maximise the value for the natural gas book. Manage storage logistics, handling day-to-day ops, checking storage levels, booking capacities for ops, understanding potential for penalties. Closing swap trades directly with c/p and matching trades on daily basis with all c/p's. Update storage injections/withdrawals on regular basis to gauge proper start of day position for each day along with P&L reconciliation for deals desk. Complete storage reconciliations; identify and investigate loss/gain differences. Understand regulatory changes and potential impacts to business. Maximise recoveries and ensure that all claims to third parties are correctly documented and presented. Secure payment of third party claims. Maintain good working practises with other trade support divisions - claims/deals desk/trade finance/chartering Establish and/or maintain good working relationships with contractual operations counterparts/third party service providers on a regular basis Participate in setting-up new business, checking GTC's for each hub and escalating risks and red flags accordingly. Training of less experienced members of the operations team to develop and increase knowledge/commercial awareness. Follow strictly internal procedures and company's policies. Adhere to Code of Conduct/HSEC Policy and Business Principles. Identify and escalate operational issues to Regional Manager seeking guidance as appropriate. Possess technical skills to improve processes and build automation Your background: Able to interpret the operational requirements of each contract, can review and comment on operational aspects of same. Understands the basic legal framework supporting natural gas contracts Has a good understanding of common pipeline operations and terminology. Able to ensure satisfactory commercial operation of natural gas flows under minimal supervision. Has a good understanding of relevant market infrastructure and business practices, has experience in communications with pipeline and storage operators Has experience in handling pipeline transport and storage capacity auctions. Has a good understanding of the different types of financial instruments and their uses. If interested in this position please send me your updated CV or email for a confidential call.
Job Title: Dynamics 365 and Power Platform Developer Hours: 9am - 5pm, Monday to Friday Role Overview: The Dynamics 365 and Power Platform Developer is a blend of highly efficient technical and analytical skills combined with a strong administrative understanding of the platform itself, our tenancy needs and the communicative ability to get the best from colleagues across the business. Responsibilities: Working with business stakeholders and Head of IT to design, build, and deliver a series of high-quality solutions that deliver maximum value for business stakeholders across the business Lead in developing solutions in accordance with the full development life cycle in accordance with defined standards, best practice and agreed deadlines Communicate requirements through both technical and non-technical means aligned to the audience with clear communication and care for the business approach - ensuring documentation and solutions meet their needs and internal standards Maintenance of all current systems and applications, reacting to incoming requests and providing timely updates ensuring that high quality change control management is practiced for all BAU changes Requirements: Experience in Dynamics 365 (D365) Experience in Power Platforms Experience in full life cycle implementation A good background in Microsoft Technologies Desirable experience in some programming languages: C#, .NET, JavaScript, HTML and CSS Apply today for immediate consideration!
14/05/2024
Full time
Job Title: Dynamics 365 and Power Platform Developer Hours: 9am - 5pm, Monday to Friday Role Overview: The Dynamics 365 and Power Platform Developer is a blend of highly efficient technical and analytical skills combined with a strong administrative understanding of the platform itself, our tenancy needs and the communicative ability to get the best from colleagues across the business. Responsibilities: Working with business stakeholders and Head of IT to design, build, and deliver a series of high-quality solutions that deliver maximum value for business stakeholders across the business Lead in developing solutions in accordance with the full development life cycle in accordance with defined standards, best practice and agreed deadlines Communicate requirements through both technical and non-technical means aligned to the audience with clear communication and care for the business approach - ensuring documentation and solutions meet their needs and internal standards Maintenance of all current systems and applications, reacting to incoming requests and providing timely updates ensuring that high quality change control management is practiced for all BAU changes Requirements: Experience in Dynamics 365 (D365) Experience in Power Platforms Experience in full life cycle implementation A good background in Microsoft Technologies Desirable experience in some programming languages: C#, .NET, JavaScript, HTML and CSS Apply today for immediate consideration!
Global Technology Solutions Ltd
Aldermaston, Berkshire
SC Cleared Windows O/S Build Engineer £48,925p/a + £2000p/a DV allowance standard office hours Aldermaston, Reading SC clearance must be held and available to progress on DV clearance Purpose of the role We are looking for customer-focused and enthusiastic Windows O/S build Engineer to join our Infrastructure and Tooling Team. Day to day tasks include developing customer software builds to a high standard, covering new build creation, new hardware models and build updates. Finally overseeing the deployment of the build and transitioning support to the BAU resolver Teams. You should have a genuine interest in solving people's IT issues and empathetic to customer needs and requirements. You should possess good written and verbal communication skills and be willing to collaborate with the wider IT support teams and help us develop a strong partnership with our customers IT Leadership. Our organisation firmly believes is building progression and developing people at all levels. Part of the role is to coach individuals and facilitate plans training so that people can perform to the best of their abilities. * Determine and document technical build specifications * Automation of existing process * Maintaining security standards * Writing, editing and testing policies with customer service always in mind. * Provide diagnosis and troubleshooting in the event of Incidents and Problems arising from the Standard Builds. * Build and actively maintain relationships with key department heads. Be a credible communicator with the customer at all levels * Drive Service Management best-practice and ITIL process compliance across the business * Drive continuous service improvement * Planning and execution of customer site deployments from build, through go-live and into operational support * QA/UAT The site benefits from a restaurant, cafe, parking and good public transport links. As a company employee you'll have access to a large library of courses and accreditations to help further your skills and development. Benefits include workplace pension scheme, life insurance, health cashback plan, holiday insurance, private medical cover (medical cover comes in to effect after 6 months service) DESIRABLE SKILLS/QUALIFICATIONS: * Deployment using: o SYSPREP o Unattended installs using unattend.txt and WINNT.SIF o RIS - Remote Installation Services o ADS - Automated Deployment Services o WDS - Windows Deployment Server o WAIK - Windows Automated Installation Kit o SCCM - System Centre Configuration manager 2012/2016 o MDT - Microsoft Deployment Tool * Security and Patching using: o Unattended and silent Scripting o SUS1.1 Software Update Services o WSUS Windows Software Update services o SCCM - System Centre Configuration manager 2012/2016 * Operating systems and service packs: o Windows 10 and year update releases o Windows Server 2012/2016/2019 o Tuning, securing, troubleshooting, printing, blue screen debugging, maintaining bios & firmware upgrades. * AD and Group Policy: o Knowledge of Active Directory and the creation of Groups, OU, and Group Policy Objects * Fault diagnosis and error checking: o Knowledge for troubleshooting, Fault Diagnosis, and error checking within SCCM, AD, MDT, Windows OS, and Sys Internals applications. * Awareness of ITIL Change and Release Management As an Employee you will benefit from: * Flexible benefits including, private medical and health insurance, basic cover paid by employer * Free eye test vouchers * Company pension scheme * Income protection after 6 months' service should you be off work due to serious illness * 23 days holiday rising by 1 day per year to max 25 * Option to purchase/sell additional holiday * Life insurance * Employee Assistance Programme, free confidential advise covering a range of areas including mental health and financial support Apply now for consideration! "In applying for this position, you consent to your personal data being shared with the specified employer and for your details to remain with GTS for as long as is necessary to process your application. See our Privacy Notice for full information Global Technology Solutions is acting as an Employment Agency in relation to this vacancy.
13/05/2024
Full time
SC Cleared Windows O/S Build Engineer £48,925p/a + £2000p/a DV allowance standard office hours Aldermaston, Reading SC clearance must be held and available to progress on DV clearance Purpose of the role We are looking for customer-focused and enthusiastic Windows O/S build Engineer to join our Infrastructure and Tooling Team. Day to day tasks include developing customer software builds to a high standard, covering new build creation, new hardware models and build updates. Finally overseeing the deployment of the build and transitioning support to the BAU resolver Teams. You should have a genuine interest in solving people's IT issues and empathetic to customer needs and requirements. You should possess good written and verbal communication skills and be willing to collaborate with the wider IT support teams and help us develop a strong partnership with our customers IT Leadership. Our organisation firmly believes is building progression and developing people at all levels. Part of the role is to coach individuals and facilitate plans training so that people can perform to the best of their abilities. * Determine and document technical build specifications * Automation of existing process * Maintaining security standards * Writing, editing and testing policies with customer service always in mind. * Provide diagnosis and troubleshooting in the event of Incidents and Problems arising from the Standard Builds. * Build and actively maintain relationships with key department heads. Be a credible communicator with the customer at all levels * Drive Service Management best-practice and ITIL process compliance across the business * Drive continuous service improvement * Planning and execution of customer site deployments from build, through go-live and into operational support * QA/UAT The site benefits from a restaurant, cafe, parking and good public transport links. As a company employee you'll have access to a large library of courses and accreditations to help further your skills and development. Benefits include workplace pension scheme, life insurance, health cashback plan, holiday insurance, private medical cover (medical cover comes in to effect after 6 months service) DESIRABLE SKILLS/QUALIFICATIONS: * Deployment using: o SYSPREP o Unattended installs using unattend.txt and WINNT.SIF o RIS - Remote Installation Services o ADS - Automated Deployment Services o WDS - Windows Deployment Server o WAIK - Windows Automated Installation Kit o SCCM - System Centre Configuration manager 2012/2016 o MDT - Microsoft Deployment Tool * Security and Patching using: o Unattended and silent Scripting o SUS1.1 Software Update Services o WSUS Windows Software Update services o SCCM - System Centre Configuration manager 2012/2016 * Operating systems and service packs: o Windows 10 and year update releases o Windows Server 2012/2016/2019 o Tuning, securing, troubleshooting, printing, blue screen debugging, maintaining bios & firmware upgrades. * AD and Group Policy: o Knowledge of Active Directory and the creation of Groups, OU, and Group Policy Objects * Fault diagnosis and error checking: o Knowledge for troubleshooting, Fault Diagnosis, and error checking within SCCM, AD, MDT, Windows OS, and Sys Internals applications. * Awareness of ITIL Change and Release Management As an Employee you will benefit from: * Flexible benefits including, private medical and health insurance, basic cover paid by employer * Free eye test vouchers * Company pension scheme * Income protection after 6 months' service should you be off work due to serious illness * 23 days holiday rising by 1 day per year to max 25 * Option to purchase/sell additional holiday * Life insurance * Employee Assistance Programme, free confidential advise covering a range of areas including mental health and financial support Apply now for consideration! "In applying for this position, you consent to your personal data being shared with the specified employer and for your details to remain with GTS for as long as is necessary to process your application. See our Privacy Notice for full information Global Technology Solutions is acting as an Employment Agency in relation to this vacancy.