Position: Boomi Developer Employment Type: Contract, Full time Start: 01 May 2024 Duration: 6 months Location: Hybrid, Hampshire, UK - up to 2 days per week. Languages: English Focus on SAP is specialist SAP and ERP Recruitment organisation offering both permanent and contract staffing solutions on a global scale. Client - Partnered with a leading high-tech organisation in the UK. Role - This is a great opportunity for an Boomi Developer to join our client and play a key role and help transforming several parts of their business. The business is going through a company wide digital transformation that includes the implementation of multiple ERP platforms. You will help with designing integrations and interfaces to ensure; important data is synchronised, processes are streamlined and infrastructure are cohesive to empower the business to automate tasks and eliminate the need for manual data transfers. Key Responsibilities: Design, build, and deploy integrations utilising the Boomi integration platform. You will collaborate with the business to understand their integration requirements. Provide customised solutions that integrate various applications, data sources, and systems. Key Skills: Experience of at least two project deliveries with Boomi. Good knowledge of the various types of connectors that the business uses: - sFTP, HTTP REST API, SOAP API, Mail. Understanding of the role of Caches. Role of Environment Variables. Confident to prepare data in Excel where necessary. Excellent communication (oral & written) is a must. Salary - Dependent on experience Location - Hybrid, Hampshire, UK - 1 to 2 days per week.
19/05/2024
Project-based
Position: Boomi Developer Employment Type: Contract, Full time Start: 01 May 2024 Duration: 6 months Location: Hybrid, Hampshire, UK - up to 2 days per week. Languages: English Focus on SAP is specialist SAP and ERP Recruitment organisation offering both permanent and contract staffing solutions on a global scale. Client - Partnered with a leading high-tech organisation in the UK. Role - This is a great opportunity for an Boomi Developer to join our client and play a key role and help transforming several parts of their business. The business is going through a company wide digital transformation that includes the implementation of multiple ERP platforms. You will help with designing integrations and interfaces to ensure; important data is synchronised, processes are streamlined and infrastructure are cohesive to empower the business to automate tasks and eliminate the need for manual data transfers. Key Responsibilities: Design, build, and deploy integrations utilising the Boomi integration platform. You will collaborate with the business to understand their integration requirements. Provide customised solutions that integrate various applications, data sources, and systems. Key Skills: Experience of at least two project deliveries with Boomi. Good knowledge of the various types of connectors that the business uses: - sFTP, HTTP REST API, SOAP API, Mail. Understanding of the role of Caches. Role of Environment Variables. Confident to prepare data in Excel where necessary. Excellent communication (oral & written) is a must. Salary - Dependent on experience Location - Hybrid, Hampshire, UK - 1 to 2 days per week.
Summary: This position is expected to manage and/or support initiatives for continuous improvement in current and future CargoWise modules and projects as determined by the company. The successful candidate for this role will take ownership of the development and deployment of these projects, communicate on progress, and meet deadlines as decided by the company. This position is critical to the continued efficient use of our CargoWise operating system. Responsibilities: Help develop project plans for assigned projects Ensure projects adhere to frameworks and all documentation is maintained appropriately for each project Support implementation of new features and training with roll out Handle multiple projects simultaneously, meeting deadlines Analyze project data & risk, report findings, and propose solutions Provide administrative support as needed Work on tight deadlines and changing priorities Ensure stakeholder views are managed toward the best solution Work independently and as part of a team CargoWise documentation Requirements: Minimum 2 years CargoWise Experience 2 years of SQL Back End/data base skills 2 years of workflows programming and debugging. 2 years of experience with creating and modifying documents within Cargowise. 2 years of experience of Air & Ocean Import/Export Preferred skills Excellent Communication & listening skills Planning & time management skills Deadline management Prioritization Intermediate proficiency in Microsoft Excel
18/05/2024
Full time
Summary: This position is expected to manage and/or support initiatives for continuous improvement in current and future CargoWise modules and projects as determined by the company. The successful candidate for this role will take ownership of the development and deployment of these projects, communicate on progress, and meet deadlines as decided by the company. This position is critical to the continued efficient use of our CargoWise operating system. Responsibilities: Help develop project plans for assigned projects Ensure projects adhere to frameworks and all documentation is maintained appropriately for each project Support implementation of new features and training with roll out Handle multiple projects simultaneously, meeting deadlines Analyze project data & risk, report findings, and propose solutions Provide administrative support as needed Work on tight deadlines and changing priorities Ensure stakeholder views are managed toward the best solution Work independently and as part of a team CargoWise documentation Requirements: Minimum 2 years CargoWise Experience 2 years of SQL Back End/data base skills 2 years of workflows programming and debugging. 2 years of experience with creating and modifying documents within Cargowise. 2 years of experience of Air & Ocean Import/Export Preferred skills Excellent Communication & listening skills Planning & time management skills Deadline management Prioritization Intermediate proficiency in Microsoft Excel
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.
We are currently looking on behalf of one of our important clients for a German Speaking QMS Application Specialist (Medical Device Sector). The role is a permanent position based in Solothurn Canton & comes with some home office allowance. Your Role: Administrate a QMS Application. Act as a contact point for internal customers, specialist departments & expert external consultants. Coordinate between internal departments, IT & external service providers. Identify potential for improvement, definition of requirements & prioritization. Evaluate, implement & document changes in the system (eg workflows, user interface, reporting). Lead the change board as needed. Provide 2nd level support when necessary. Prepare training materials & implement training courses for various stakeholder groups. Support the implementation of the application in other application areas. Your Skills: At least 3 years of professional experience in Quality or Process management within the Medical Technology &/or Pharmaceutical industries. Experienced in IT Cloud Applications & their functionality. Ideally experienced with TrackWise Digital (or Salesforce). Any experience in dealing with Computer Systems requiring Validation is considered advantageous. Your Profile: Completed University Degree in Computer Science, Engineering, Natural Sciences, Business Administration or similar. Self-motivated, reliable, structured & strong communication skills. Fluent English & good German language skills (to at least B2 Level) are a mandatory requirement.
17/05/2024
Full time
We are currently looking on behalf of one of our important clients for a German Speaking QMS Application Specialist (Medical Device Sector). The role is a permanent position based in Solothurn Canton & comes with some home office allowance. Your Role: Administrate a QMS Application. Act as a contact point for internal customers, specialist departments & expert external consultants. Coordinate between internal departments, IT & external service providers. Identify potential for improvement, definition of requirements & prioritization. Evaluate, implement & document changes in the system (eg workflows, user interface, reporting). Lead the change board as needed. Provide 2nd level support when necessary. Prepare training materials & implement training courses for various stakeholder groups. Support the implementation of the application in other application areas. Your Skills: At least 3 years of professional experience in Quality or Process management within the Medical Technology &/or Pharmaceutical industries. Experienced in IT Cloud Applications & their functionality. Ideally experienced with TrackWise Digital (or Salesforce). Any experience in dealing with Computer Systems requiring Validation is considered advantageous. Your Profile: Completed University Degree in Computer Science, Engineering, Natural Sciences, Business Administration or similar. Self-motivated, reliable, structured & strong communication skills. Fluent English & good German language skills (to at least B2 Level) are a mandatory requirement.
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.
We have an exciting opportunity to join a leading System Integrator and Professional Services Consulting firm working in the Microsoft Applications and Cloud Engineering team. Your role as a Microsoft Dynamics 365 FinOps Architectwill be to help to grow pre-sales drive growth across Microsoft Dynamics 365, Power Platform and Microsoft Azure. You will form part of a team that helps to shape future projects and client engagements by identifying new opportunities for Dynamics 365 Finance and Operations implementations. The Microsoft Dynamics 365 FinOps Architectwill be working with people ranging in experience, from early and emerging talent to specialists. Our clients are looking for bright people with a passion for Microsoft technology and the benefits it brings to our clients. And someone who has a consultative nature that can help customers on their journey to adopting Dynamics 365 Finance and Operations. The Microsoft Dynamics 365 FinOps Architect will benefit from training and development and have a customer base of clients across multiple industries (Retail, Utilities, Manufacturing, Transport and Health). The Microsoft Dynamics 365 FinOps Architectrole is pre-sales/early delivery focused, working directly with sales and delivery colleagues. This role will include Identify business opportunities within existing clients and build a portfolio of new customers. Building sales content and work with sales and marketing teams to highlight the practices capabilities in Dynamics 365 Finance and Operations and the business value and benefits organisations can achieve from using it. Preparing and deliver demos and POCs to technical and non-technical stakeholders, including c-suite. Acting as solution lead on sales engagements and set architecture best practices and processes as well as high-level and low-level solution design of end-to-end Dynamics 365 FinOps projects. Supporting estimation and planning for bid responses, and be a trusted advisor for colleagues and client stakeholders, building strong relationships and customer trust. The Microsoft Dynamics 365 FinOps Architect should demonstrate the following experience and capabilities Energy and excitement about the technologies and capabilities provided by Dynamics 365 and the Power Platform with great drive engagement and adoption, consulting and leadership skills to form strong and lasting relationships with clients and colleagues and to drive growth. Full implementation life cycle experience of ERP based programmes within Microsoft Dynamics 365 and the Power Platform, with knowledge of software engineering best practices and limitation with Dynamics 365 FinOps as well as Microsoft Dynamics CRM SDK, X , C#, Visual Studio and Team Foundation Server. Advise on Continuous Integration (CI) and Continuous Delivery (CD) options available to Dynamics 365 FinOps projects. Working knowledge of Microsoft Dynamics 365 CE, Power Platform and Azure to enable a best fit approach to every solution. A passion for delivering according to an agile methodology, planning projects and releases following scrum. There is a hybrid working model with good WFH opportunities, however the Microsoft Dynamics 365 FinOps Architect should be flexible and UK mobile but can live anywhere in the UK . Any required travel will be expensed. The Microsoft Dynamics 365 FinOps Architectmust have full rights to work in the UK without requiring work permit sponsorship and should also be eligible for Security clearance applications, this means we require British/dual nationals with no travel outside of the UK for over 28 consecutive days over the past 5 years period. If you are unsure on this please apply and we can discuss further. If you have read this far and you have some of the skills required, please send your CV and lets talk!
17/05/2024
Full time
We have an exciting opportunity to join a leading System Integrator and Professional Services Consulting firm working in the Microsoft Applications and Cloud Engineering team. Your role as a Microsoft Dynamics 365 FinOps Architectwill be to help to grow pre-sales drive growth across Microsoft Dynamics 365, Power Platform and Microsoft Azure. You will form part of a team that helps to shape future projects and client engagements by identifying new opportunities for Dynamics 365 Finance and Operations implementations. The Microsoft Dynamics 365 FinOps Architectwill be working with people ranging in experience, from early and emerging talent to specialists. Our clients are looking for bright people with a passion for Microsoft technology and the benefits it brings to our clients. And someone who has a consultative nature that can help customers on their journey to adopting Dynamics 365 Finance and Operations. The Microsoft Dynamics 365 FinOps Architect will benefit from training and development and have a customer base of clients across multiple industries (Retail, Utilities, Manufacturing, Transport and Health). The Microsoft Dynamics 365 FinOps Architectrole is pre-sales/early delivery focused, working directly with sales and delivery colleagues. This role will include Identify business opportunities within existing clients and build a portfolio of new customers. Building sales content and work with sales and marketing teams to highlight the practices capabilities in Dynamics 365 Finance and Operations and the business value and benefits organisations can achieve from using it. Preparing and deliver demos and POCs to technical and non-technical stakeholders, including c-suite. Acting as solution lead on sales engagements and set architecture best practices and processes as well as high-level and low-level solution design of end-to-end Dynamics 365 FinOps projects. Supporting estimation and planning for bid responses, and be a trusted advisor for colleagues and client stakeholders, building strong relationships and customer trust. The Microsoft Dynamics 365 FinOps Architect should demonstrate the following experience and capabilities Energy and excitement about the technologies and capabilities provided by Dynamics 365 and the Power Platform with great drive engagement and adoption, consulting and leadership skills to form strong and lasting relationships with clients and colleagues and to drive growth. Full implementation life cycle experience of ERP based programmes within Microsoft Dynamics 365 and the Power Platform, with knowledge of software engineering best practices and limitation with Dynamics 365 FinOps as well as Microsoft Dynamics CRM SDK, X , C#, Visual Studio and Team Foundation Server. Advise on Continuous Integration (CI) and Continuous Delivery (CD) options available to Dynamics 365 FinOps projects. Working knowledge of Microsoft Dynamics 365 CE, Power Platform and Azure to enable a best fit approach to every solution. A passion for delivering according to an agile methodology, planning projects and releases following scrum. There is a hybrid working model with good WFH opportunities, however the Microsoft Dynamics 365 FinOps Architect should be flexible and UK mobile but can live anywhere in the UK . Any required travel will be expensed. The Microsoft Dynamics 365 FinOps Architectmust have full rights to work in the UK without requiring work permit sponsorship and should also be eligible for Security clearance applications, this means we require British/dual nationals with no travel outside of the UK for over 28 consecutive days over the past 5 years period. If you are unsure on this please apply and we can discuss further. If you have read this far and you have some of the skills required, please send your CV and lets talk!
Your new company Founded in 1987, our client is the UK's leading facilities management and professional services company. Across the country, our 77,500 people look after a large, diverse, blue chip customer base, from banks and retailers, to hospitals, schools and critical government strategic assets. We take care of our customers' people and buildings, by delivering the basics brilliantly and deploying advanced technology. Your new role Ensure compliance with statutory health and safety regulations.Provide technical advice related to HTM (Healthcare Technical Memoranda). Oversee Safe Systems of Work implementation and administration. Offer Technical advice to engineers and other staff Root cause analysis of problems Auditing/Inspection What you'll need to succeed Background in engineering - either electrical or mechanical biasFamiliarity with HTM guidelines is desirable IENG or working towards this LV, HV and AP experience are highly desirable Personality Skills: Strong communication, problem-solving, and leadership skills. Clean driving licence One of the below would be useful: HTM-01 - Decontamination HTM-02 - Medical Gasses HTM-03 - Ventilation HTM-04 - Water HTM-05 - Fire HTM-06 - Electrical HTM 07 - Environment HTM 08 - Specialist Services (Lifts) . Pressure Systems Water Gas Fire Mgr Boiler Operator Accred Scheme (BOAS) Fuels & Oils Excavations Confined Spaces Working at Height What you'll get in return Training and upskilling opportunities Internal promotion opportunities Pension scheme Holidays Cycle to work scheme Employee shares scheme Car allowance or vehicle provided 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 Talent Solutions 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.
16/05/2024
Full time
Your new company Founded in 1987, our client is the UK's leading facilities management and professional services company. Across the country, our 77,500 people look after a large, diverse, blue chip customer base, from banks and retailers, to hospitals, schools and critical government strategic assets. We take care of our customers' people and buildings, by delivering the basics brilliantly and deploying advanced technology. Your new role Ensure compliance with statutory health and safety regulations.Provide technical advice related to HTM (Healthcare Technical Memoranda). Oversee Safe Systems of Work implementation and administration. Offer Technical advice to engineers and other staff Root cause analysis of problems Auditing/Inspection What you'll need to succeed Background in engineering - either electrical or mechanical biasFamiliarity with HTM guidelines is desirable IENG or working towards this LV, HV and AP experience are highly desirable Personality Skills: Strong communication, problem-solving, and leadership skills. Clean driving licence One of the below would be useful: HTM-01 - Decontamination HTM-02 - Medical Gasses HTM-03 - Ventilation HTM-04 - Water HTM-05 - Fire HTM-06 - Electrical HTM 07 - Environment HTM 08 - Specialist Services (Lifts) . Pressure Systems Water Gas Fire Mgr Boiler Operator Accred Scheme (BOAS) Fuels & Oils Excavations Confined Spaces Working at Height What you'll get in return Training and upskilling opportunities Internal promotion opportunities Pension scheme Holidays Cycle to work scheme Employee shares scheme Car allowance or vehicle provided 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 Talent Solutions 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.
CMS Marketing Executive - London/WFH/Hybrid £100,000 or £475 per day (Inside IR35)/24 month Fixed Term Contract/Hybrid remote/office based, but ideally someone willing to time spent with the team in their modern, very funky and unique office in Angel, Islington A leading global travel company (household name) seek an experienced and motivated CMS Marketing Executive to not only be responsible for producing impactful campaigns, but to be the companies CMS specialist, who can manage the migration and technical implementation for partners of a new content management system. CMS Marketing Executive role description: 3 keys skills - CMS/Martech, Analytics (Data), and Travel background would be great. Are you a driven marketing professional with a passion for producing impactful campaigns? Join the Growth Marketing team. Their team works directly with some of the world's most established online travel agencies, airlines, hotel chains and financial institutions! If the idea of starting each day by reviewing yesterday's campaign results and initiating changes to optimize performance excites you, then this may be your next great opportunity! Core responsibilities for the CMS Marketing Executive: Manage the migration and technical implementation for partners of a new content management system. Lead and implement site merchandising and promotional strategies for their partners' marketing campaigns. This role will manage all implementation aspects internally, such as coordinating marketing projects with multiple stakeholders. Become an expert user of their merchandising tools, such as content management solutions, inventory management, analytics and reporting tools. Manage all tactical details related to promotions - examples: develop all necessary terms and conditions, manage copy/design requests and site placement implementation, provide promotional materials to marketing partners and overall analysis of the promotion. Drive continuous improvements in site visitor growth, shopper conversion and deal production through in-depth analysis, experimentation, consumer-facing tool development and A/B and multivariate testing. CMS Marketing Executive - who you are: 2+ years' experience in digital marketing/merchandising or promotional. 2+ activity in consumer E-commerce or travel. Bachelor's degree or related technical field; or Equivalent related professional experience. A passion for using technology to drive marketing initiatives by building campaigns that drive results. A love affair with content management systems, Excel, Adobe Analytics or similar analytics measuring tools. Strong attention to detail, best in class organizational, stakeholder management and communication skills. Dedication to continuously improving the customer experience through relevant and valuable promotions. CMS Marketing Executive - London/WFH/Hybrid £100,000 or £475 per day (Inside IR35)/24 month Fixed Term Contract/Hybrid remote/office based, but ideally someone willing to time spent with the team in their modern, very funky and unique office in Angel, Islington
16/05/2024
CMS Marketing Executive - London/WFH/Hybrid £100,000 or £475 per day (Inside IR35)/24 month Fixed Term Contract/Hybrid remote/office based, but ideally someone willing to time spent with the team in their modern, very funky and unique office in Angel, Islington A leading global travel company (household name) seek an experienced and motivated CMS Marketing Executive to not only be responsible for producing impactful campaigns, but to be the companies CMS specialist, who can manage the migration and technical implementation for partners of a new content management system. CMS Marketing Executive role description: 3 keys skills - CMS/Martech, Analytics (Data), and Travel background would be great. Are you a driven marketing professional with a passion for producing impactful campaigns? Join the Growth Marketing team. Their team works directly with some of the world's most established online travel agencies, airlines, hotel chains and financial institutions! If the idea of starting each day by reviewing yesterday's campaign results and initiating changes to optimize performance excites you, then this may be your next great opportunity! Core responsibilities for the CMS Marketing Executive: Manage the migration and technical implementation for partners of a new content management system. Lead and implement site merchandising and promotional strategies for their partners' marketing campaigns. This role will manage all implementation aspects internally, such as coordinating marketing projects with multiple stakeholders. Become an expert user of their merchandising tools, such as content management solutions, inventory management, analytics and reporting tools. Manage all tactical details related to promotions - examples: develop all necessary terms and conditions, manage copy/design requests and site placement implementation, provide promotional materials to marketing partners and overall analysis of the promotion. Drive continuous improvements in site visitor growth, shopper conversion and deal production through in-depth analysis, experimentation, consumer-facing tool development and A/B and multivariate testing. CMS Marketing Executive - who you are: 2+ years' experience in digital marketing/merchandising or promotional. 2+ activity in consumer E-commerce or travel. Bachelor's degree or related technical field; or Equivalent related professional experience. A passion for using technology to drive marketing initiatives by building campaigns that drive results. A love affair with content management systems, Excel, Adobe Analytics or similar analytics measuring tools. Strong attention to detail, best in class organizational, stakeholder management and communication skills. Dedication to continuously improving the customer experience through relevant and valuable promotions. CMS Marketing Executive - London/WFH/Hybrid £100,000 or £475 per day (Inside IR35)/24 month Fixed Term Contract/Hybrid remote/office based, but ideally someone willing to time spent with the team in their modern, very funky and unique office in Angel, Islington
We are IT Recruitment Specialists partnered with a prestigious Global Consultancy who required an Automotive Feature Owner E-Powertrain - Gaydon 5 days working onsite, the balance of time will be remote for one of their public sector Clients based in the UK. IR35: This role is inside of IR35 Initial duration: 4 months Role and tasks At Automotive we drive the automotive trends of safety automation, electrification, and connectivity to the next generation of solutions. With so many new features added almost every day, we need automotive experts, and we are rapidly growing a team of SME's. We are looking for a Senior Engineer with automotive experience to deliver complex vehicle features that are cross-functional. You may come from the following (but not limited to) backgrounds: Powertrain, ADAS, Infotainment, Automotive systems, or software. Responsibilities - Owns a feature or multiple features from conception to implementation to validation. - Communicate and maintain feature/function level status. - Defines the vehicle system features/functions and allocates the vehicle system elements to build up the functional architecture. - Works with ECU engineers, program managers, electrical architecture team, product strategy and other stakeholders to align strategy and execution. - Refines use cases (end-to-end functions) to identify vehicle system features/functions. - Specifies vehicle system features/functions and is responsible for the completeness towards stakeholder requirements and establishes traceability, verification criteria and responsibilities. - Specifies non-functional requirements, process and project execution requirements, requirements for vehicle test and validation, requirements for manufacturing. - Collaborate with ECU engineers to review software implementation ensuring compliance with requirements. Your Profile - Senior Engineer with at least eight to twelve years' experience in Automotive - Background in one of the following is preferable: E-Powertrain If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.
16/05/2024
Project-based
We are IT Recruitment Specialists partnered with a prestigious Global Consultancy who required an Automotive Feature Owner E-Powertrain - Gaydon 5 days working onsite, the balance of time will be remote for one of their public sector Clients based in the UK. IR35: This role is inside of IR35 Initial duration: 4 months Role and tasks At Automotive we drive the automotive trends of safety automation, electrification, and connectivity to the next generation of solutions. With so many new features added almost every day, we need automotive experts, and we are rapidly growing a team of SME's. We are looking for a Senior Engineer with automotive experience to deliver complex vehicle features that are cross-functional. You may come from the following (but not limited to) backgrounds: Powertrain, ADAS, Infotainment, Automotive systems, or software. Responsibilities - Owns a feature or multiple features from conception to implementation to validation. - Communicate and maintain feature/function level status. - Defines the vehicle system features/functions and allocates the vehicle system elements to build up the functional architecture. - Works with ECU engineers, program managers, electrical architecture team, product strategy and other stakeholders to align strategy and execution. - Refines use cases (end-to-end functions) to identify vehicle system features/functions. - Specifies vehicle system features/functions and is responsible for the completeness towards stakeholder requirements and establishes traceability, verification criteria and responsibilities. - Specifies non-functional requirements, process and project execution requirements, requirements for vehicle test and validation, requirements for manufacturing. - Collaborate with ECU engineers to review software implementation ensuring compliance with requirements. Your Profile - Senior Engineer with at least eight to twelve years' experience in Automotive - Background in one of the following is preferable: E-Powertrain If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.
We are Global IT Recruitment specialist that provides support to the clients across UK, Europe and Australia. We have an excellent job opportunity for you. Role Title: Automotive Engineer Location: Gaydon 5 days per week preference - will consider partial hybrid Duration: Until 30/09/24 Role Description: We are looking for a Senior Engineer with automotive experience to deliver complex vehicle features that are cross-functional. You may come from the following (but not limited to) backgrounds: Powertrain, ADAS, Infotainment, Automotive systems, or software. Responsibilities - Owns a feature or multiple features from conception to implementation to validation. - Communicate and maintain feature/function level status. - Defines the vehicle system features/functions and allocates the vehicle system elements to build up the functional architecture. - Works with ECU engineers, program managers, electrical architecture team, product strategy and other stakeholders to align strategy and execution. - Refines use cases (end-to-end functions) to identify vehicle system features/functions. - Specifies vehicle system features/functions and is responsible for the completeness towards stakeholder requirements and establishes traceability, verification criteria and responsibilities. - Specifies non-functional requirements, process and project execution requirements, requirements for vehicle test and validation, requirements for manufacturing. - Collaborate with ECU engineers to review software implementation ensuring compliance with requirements. Your Profile - Senior Engineer with at least eight to twelve years' experience in Automotive - Background in one of the following is preferable: ICE
16/05/2024
Project-based
We are Global IT Recruitment specialist that provides support to the clients across UK, Europe and Australia. We have an excellent job opportunity for you. Role Title: Automotive Engineer Location: Gaydon 5 days per week preference - will consider partial hybrid Duration: Until 30/09/24 Role Description: We are looking for a Senior Engineer with automotive experience to deliver complex vehicle features that are cross-functional. You may come from the following (but not limited to) backgrounds: Powertrain, ADAS, Infotainment, Automotive systems, or software. Responsibilities - Owns a feature or multiple features from conception to implementation to validation. - Communicate and maintain feature/function level status. - Defines the vehicle system features/functions and allocates the vehicle system elements to build up the functional architecture. - Works with ECU engineers, program managers, electrical architecture team, product strategy and other stakeholders to align strategy and execution. - Refines use cases (end-to-end functions) to identify vehicle system features/functions. - Specifies vehicle system features/functions and is responsible for the completeness towards stakeholder requirements and establishes traceability, verification criteria and responsibilities. - Specifies non-functional requirements, process and project execution requirements, requirements for vehicle test and validation, requirements for manufacturing. - Collaborate with ECU engineers to review software implementation ensuring compliance with requirements. Your Profile - Senior Engineer with at least eight to twelve years' experience in Automotive - Background in one of the following is preferable: ICE
Our client is a leading player in the food and beverage industry, dedicated to delivering high-quality products and exceptional customer service. Their commitment to excellence and innovation has positioned us them a trusted brand in the market. As they continue to grow, they are seeking a talented Workday HCM Specialist to join their team and support our HR operations. They are looking for a Workday HCM Specialist to join their dynamic HR team. As a Workday HCM Specialist, you will be responsible for managing and optimizing their Workday Human Capital Management (HCM) system to support our HR functions and business objectives. Responsibilities: Collaborate with HR and IT teams to configure and customize the Workday HCM system to meet the specific needs of the food and beverage industry. Lead the implementation and integration of new Workday HCM modules, features, and functionalities. Provide ongoing support and troubleshooting for Workday HCM-related issues, ensuring minimal disruption to HR operations. Conduct regular audits of HR data to ensure accuracy and compliance with industry regulations and company policies. Develop and deliver training programs for HR staff and end-users to maximize the utilization of Workday HCM. Partner with stakeholders to optimize HR processes and workflows within the Workday HCM system. Stay updated on industry trends and best practices in Workday HCM and HR technology. Requirements: Proven experience as a Workday HCM Specialist or similar role, preferably in the food and beverage industry. Deep understanding of Workday HCM functionality, including Core HR, Compensation, Benefits, Talent Management, and Reporting. Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions. Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams. Detail-oriented with a commitment to data accuracy and compliance. Workday HCM certification(s) preferred.
16/05/2024
Full time
Our client is a leading player in the food and beverage industry, dedicated to delivering high-quality products and exceptional customer service. Their commitment to excellence and innovation has positioned us them a trusted brand in the market. As they continue to grow, they are seeking a talented Workday HCM Specialist to join their team and support our HR operations. They are looking for a Workday HCM Specialist to join their dynamic HR team. As a Workday HCM Specialist, you will be responsible for managing and optimizing their Workday Human Capital Management (HCM) system to support our HR functions and business objectives. Responsibilities: Collaborate with HR and IT teams to configure and customize the Workday HCM system to meet the specific needs of the food and beverage industry. Lead the implementation and integration of new Workday HCM modules, features, and functionalities. Provide ongoing support and troubleshooting for Workday HCM-related issues, ensuring minimal disruption to HR operations. Conduct regular audits of HR data to ensure accuracy and compliance with industry regulations and company policies. Develop and deliver training programs for HR staff and end-users to maximize the utilization of Workday HCM. Partner with stakeholders to optimize HR processes and workflows within the Workday HCM system. Stay updated on industry trends and best practices in Workday HCM and HR technology. Requirements: Proven experience as a Workday HCM Specialist or similar role, preferably in the food and beverage industry. Deep understanding of Workday HCM functionality, including Core HR, Compensation, Benefits, Talent Management, and Reporting. Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions. Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams. Detail-oriented with a commitment to data accuracy and compliance. Workday HCM certification(s) preferred.
Finance Systems Specialist 100% remote available Our client, a global organisation are searching for an experience Finance Systems specialist to join their business on a 6 month Fixed Term Contract. This role will support the global finance teams with the finance software. Responsible for installations and upgrades and support the implementation of their bill to cash software. Role responsibilities: Installation and technical maintenance of the Bill to Cash Software (primarily Credit Control and Cash Allocation) Schedule and perform regular upgrades of the Bill to Cash Software Support the Bill to Cash Process by technically deploying, implementing, and migrating Bill to Cash Software globally following the standardised strategy Support other Financial Software used within the global Finance Teams (eg Dynamics NAV, Business Central, Alloc8, C-Series.) Provide technical and functional training to the business (End users, Application support Teams) Document technical process flows Deploy recommendations and improvements to the software and technical processes to achieve business and process improvements Provide ongoing support on incidents Support the local teams with changes to processes and system setups Ensure compatibility with other systems while maintaining integrity of the data and data transfers Support Major Incident Review (MIR) and Problem Management meetings and actively contribute sharing solutions Enforce "best practice sharing" across countries and regions Essential skills: Technical knowledge of operating system, windows server, IIS (Internet Information Service), other technical tools (eg Powershell) Knowledge of Credit Management and Cash Allocation Software (preferably OnGuard) Knowledge of Active Directory and Citrix Willing to sometimes travel internationally Training skills Effective communicator [written and verbal]. Ready to support and develop members of the team. High integrity Good emphatic skills to understand the needs of the internal customer Proactive skill set to keep up with new technical trends Capable of working under pressure and managing a diverse workload. Experience of working within delivery teams for projects of varying sizes and timescales Understanding of data protection issues Problem-solving capabilities Desirable skills: Knowledge of Finance (especially Credit Management and Cash Allocation ) Processes Experience of Dynamic NAV and/or Business Central implementations Knowledge of SQL database and reporting Experience of working in a complex, multi-priority organisation. Knowledge of other finance business processes (eg Accountancy) Previous experience of finance related project Finance Systems Specialist 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
Finance Systems Specialist 100% remote available Our client, a global organisation are searching for an experience Finance Systems specialist to join their business on a 6 month Fixed Term Contract. This role will support the global finance teams with the finance software. Responsible for installations and upgrades and support the implementation of their bill to cash software. Role responsibilities: Installation and technical maintenance of the Bill to Cash Software (primarily Credit Control and Cash Allocation) Schedule and perform regular upgrades of the Bill to Cash Software Support the Bill to Cash Process by technically deploying, implementing, and migrating Bill to Cash Software globally following the standardised strategy Support other Financial Software used within the global Finance Teams (eg Dynamics NAV, Business Central, Alloc8, C-Series.) Provide technical and functional training to the business (End users, Application support Teams) Document technical process flows Deploy recommendations and improvements to the software and technical processes to achieve business and process improvements Provide ongoing support on incidents Support the local teams with changes to processes and system setups Ensure compatibility with other systems while maintaining integrity of the data and data transfers Support Major Incident Review (MIR) and Problem Management meetings and actively contribute sharing solutions Enforce "best practice sharing" across countries and regions Essential skills: Technical knowledge of operating system, windows server, IIS (Internet Information Service), other technical tools (eg Powershell) Knowledge of Credit Management and Cash Allocation Software (preferably OnGuard) Knowledge of Active Directory and Citrix Willing to sometimes travel internationally Training skills Effective communicator [written and verbal]. Ready to support and develop members of the team. High integrity Good emphatic skills to understand the needs of the internal customer Proactive skill set to keep up with new technical trends Capable of working under pressure and managing a diverse workload. Experience of working within delivery teams for projects of varying sizes and timescales Understanding of data protection issues Problem-solving capabilities Desirable skills: Knowledge of Finance (especially Credit Management and Cash Allocation ) Processes Experience of Dynamic NAV and/or Business Central implementations Knowledge of SQL database and reporting Experience of working in a complex, multi-priority organisation. Knowledge of other finance business processes (eg Accountancy) Previous experience of finance related project Finance Systems Specialist 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
Billing Specialist Full time - Contract - 6 months rolling contract - Hybrid (3 days in the office) Reading, Berks Is this the role for you? Are you looking for a new role within the Reading area? Do you have experience in billing, ideally within the Tech or IT sector? Are you available immediately or at short notice? If so, this could be a great role for you. What you will do: Reporting to the Billing Operations Manager, you will ensure Billing delivery excellence particularly focusing on the implementation of efficient payments via portals with an emphasis on delivering positive customer experience. You support peers, leaders, sales, and other key stakeholders in delivering billing efficacy. You will be one of the main points of back-up for the Billing Manager and typically work on the more complex billing opportunities, and complications within automated and portal payment systems. Manage customer requests related to portals Refine and document end to end process and identify efficiencies for portal registrations. Partner with IT to drive system and process improvements Identify opportunities and improvements to deliver on process automation goals Collaborate with internal stakeholders Partner with Sales and AR to resolve billing and collections issues; Deliver on other priorities as assigned to execute on the Billing mandate. What you will need: Minimum 3+ years of experience in a billing function ideally within a tech or IT company Extensive experience of managing complex and varied relationships with third party portals Good reporting skills which include expertise on Excel Knowledge of invoicing and collections processes and best practices and is viewed as a trusted advisor to the Senior Opentext Sales Organization. Applies expertise to multiple ASP A customer focused, problem solving mindset Ability to work as part of a team to contribute subject matter expertise in support of a successful outcome. Experience in delivering high quality guidance against challenging timelines. Excellent attention to detail and analytical ability. What you will get in return: In return, my client will offer a friendly and supportive working environment based in an amazing office, and the opportunity to work with a team of professionals where you will continue to grow in experience. For the right person, this could become a permanent role. The company work on a hybrid basis with 3 days onsite. They provide parking and also operate a shuttle bus from Reading station should you wish to commute by train. Work with Crone Corkill Let's find you that dream job. We're built on our connections, and we believe that at the heart of good recruitment, is people connecting with people on a more human level. We know finding your dream job isn't always easy, but it's worth it. We recruit in these pillars, across a host of industries. Business Support HR, Marketing IT Finance & Banking We're genuine in our drive to help you find a job that suits your needs, skills, and experience.
16/05/2024
Project-based
Billing Specialist Full time - Contract - 6 months rolling contract - Hybrid (3 days in the office) Reading, Berks Is this the role for you? Are you looking for a new role within the Reading area? Do you have experience in billing, ideally within the Tech or IT sector? Are you available immediately or at short notice? If so, this could be a great role for you. What you will do: Reporting to the Billing Operations Manager, you will ensure Billing delivery excellence particularly focusing on the implementation of efficient payments via portals with an emphasis on delivering positive customer experience. You support peers, leaders, sales, and other key stakeholders in delivering billing efficacy. You will be one of the main points of back-up for the Billing Manager and typically work on the more complex billing opportunities, and complications within automated and portal payment systems. Manage customer requests related to portals Refine and document end to end process and identify efficiencies for portal registrations. Partner with IT to drive system and process improvements Identify opportunities and improvements to deliver on process automation goals Collaborate with internal stakeholders Partner with Sales and AR to resolve billing and collections issues; Deliver on other priorities as assigned to execute on the Billing mandate. What you will need: Minimum 3+ years of experience in a billing function ideally within a tech or IT company Extensive experience of managing complex and varied relationships with third party portals Good reporting skills which include expertise on Excel Knowledge of invoicing and collections processes and best practices and is viewed as a trusted advisor to the Senior Opentext Sales Organization. Applies expertise to multiple ASP A customer focused, problem solving mindset Ability to work as part of a team to contribute subject matter expertise in support of a successful outcome. Experience in delivering high quality guidance against challenging timelines. Excellent attention to detail and analytical ability. What you will get in return: In return, my client will offer a friendly and supportive working environment based in an amazing office, and the opportunity to work with a team of professionals where you will continue to grow in experience. For the right person, this could become a permanent role. The company work on a hybrid basis with 3 days onsite. They provide parking and also operate a shuttle bus from Reading station should you wish to commute by train. Work with Crone Corkill Let's find you that dream job. We're built on our connections, and we believe that at the heart of good recruitment, is people connecting with people on a more human level. We know finding your dream job isn't always easy, but it's worth it. We recruit in these pillars, across a host of industries. Business Support HR, Marketing IT Finance & Banking We're genuine in our drive to help you find a job that suits your needs, skills, and experience.
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.