Solution Architect Rural/Corporate Credit Risk Models At our client in Utrecht we are looking for someone with a Credit Analytics background as a Solution Architect for Rural/Corporate Credit Risk Models. Spearhead the development of top-tier credit risk models for our client's loan portfolios. Collaborate with stakeholders and squads to translate requirements into functional architectural designs. Play a pivotal role in orchestrating design and implementation efforts, ensuring harmony with business goals. Leverage your expertise in storytelling, judgment, and problem-solving to thrive in our dynamic environment. Responsibilities - Communicate and explain credit risk models, model life cycle processes to stakeholders related to our Unified Data Solution. - Translate business and IT requirements into functional and technical architectural designs for the target architecture as well as the intermediate architectures. - Guide five of our high performing squads in their daily work Job details - 36 or 40 hours per week - Start Date: ASAP - Hybrid For inquiries, contact Alexander Mungkorn, Delivery Consultant Michael Bailey International is acting as an Employment Business in relation to this vacancy.
13/05/2024
Project-based
Solution Architect Rural/Corporate Credit Risk Models At our client in Utrecht we are looking for someone with a Credit Analytics background as a Solution Architect for Rural/Corporate Credit Risk Models. Spearhead the development of top-tier credit risk models for our client's loan portfolios. Collaborate with stakeholders and squads to translate requirements into functional architectural designs. Play a pivotal role in orchestrating design and implementation efforts, ensuring harmony with business goals. Leverage your expertise in storytelling, judgment, and problem-solving to thrive in our dynamic environment. Responsibilities - Communicate and explain credit risk models, model life cycle processes to stakeholders related to our Unified Data Solution. - Translate business and IT requirements into functional and technical architectural designs for the target architecture as well as the intermediate architectures. - Guide five of our high performing squads in their daily work Job details - 36 or 40 hours per week - Start Date: ASAP - Hybrid For inquiries, contact Alexander Mungkorn, Delivery Consultant Michael Bailey International is acting as an Employment Business in relation to this vacancy.
*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.
10/05/2024
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.
10/05/2024
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
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.
10/05/2024
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.
10/05/2024
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.
10/05/2024
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.
10/05/2024
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.
Dynamics 365 CE/CRM Consultant Hybrid/Remote working - UK Based Only Do you thrive in a fast-paced environment and enjoy utilising technology to solve complex business challenges? iO associates are searching for a motivated individual to join our expanding Microsoft Dynamics team. In this role, you'll leverage your Dynamics expertise to support a wider team in implementing technical solutions for our clients across various industries. What you'll do: Collaborate with consultants and business analysts to understand client requirements and translate them into technical specifications. Design, develop, and customise Dynamics modules to meet specific business needs. Create client-side scripts, plugins, and integrations to extend Dynamics functionality. Recognise opportunities to streamline processes, enhance performance, and innovate within the Dynamics development landscape. Design and implement data integration solutions between Dynamics and other systems using industry-standard tools. Utilise Dynamics 365's analytics capabilities to gain valuable insights into customer behaviour and trends. This includes utilising Power BI for data visualisation and analysis. Conduct thorough unit testing and participate in integration testing to ensure the functionality and performance of developed components. What you bring: In-depth knowledge of Dynamics 365 CE/CRM, with a solid understanding of the business context it addresses. Familiarity with complementary technologies like Azure, Power Platform, M365, and Active Directory. Strong problem-solving and analytical skills to identify and resolve complex issues. The ability to thrive in a collaborative, team-oriented environment. Understanding of data integration techniques and tools. A plus if you have: Knowledge of Dynamics platform architecture and its components. Experience designing and implementing workflows, business rules, and processes within Dynamics 365. Familiarity with Azure services and their integration with Dynamics 365. Experience with customising and configuring Dynamics 365 environments. A background in developing and deploying custom solutions using Dynamics 365. Experience migrating financial data from Legacy systems to Dynamics 365, ensuring data accuracy and compliance. Familiarity with the Power Platform (Power Apps, Power Automate, Power BI) to extend Dynamics 365 capabilities. Would you like to work within a collaborative and supportive environment that helps you grow and develop your career? Requirement: You must have the following visas/Right to work to be eligible for this position: British Citizen, ILR, Dependant Visa, Pre-settled status etc. You must be UK-based to apply for this role. *If you don't have the right to work in the UK or are not located in the UK, you will be automatically rejected from the process due to client requirement. Apply today!
10/05/2024
Full time
Dynamics 365 CE/CRM Consultant Hybrid/Remote working - UK Based Only Do you thrive in a fast-paced environment and enjoy utilising technology to solve complex business challenges? iO associates are searching for a motivated individual to join our expanding Microsoft Dynamics team. In this role, you'll leverage your Dynamics expertise to support a wider team in implementing technical solutions for our clients across various industries. What you'll do: Collaborate with consultants and business analysts to understand client requirements and translate them into technical specifications. Design, develop, and customise Dynamics modules to meet specific business needs. Create client-side scripts, plugins, and integrations to extend Dynamics functionality. Recognise opportunities to streamline processes, enhance performance, and innovate within the Dynamics development landscape. Design and implement data integration solutions between Dynamics and other systems using industry-standard tools. Utilise Dynamics 365's analytics capabilities to gain valuable insights into customer behaviour and trends. This includes utilising Power BI for data visualisation and analysis. Conduct thorough unit testing and participate in integration testing to ensure the functionality and performance of developed components. What you bring: In-depth knowledge of Dynamics 365 CE/CRM, with a solid understanding of the business context it addresses. Familiarity with complementary technologies like Azure, Power Platform, M365, and Active Directory. Strong problem-solving and analytical skills to identify and resolve complex issues. The ability to thrive in a collaborative, team-oriented environment. Understanding of data integration techniques and tools. A plus if you have: Knowledge of Dynamics platform architecture and its components. Experience designing and implementing workflows, business rules, and processes within Dynamics 365. Familiarity with Azure services and their integration with Dynamics 365. Experience with customising and configuring Dynamics 365 environments. A background in developing and deploying custom solutions using Dynamics 365. Experience migrating financial data from Legacy systems to Dynamics 365, ensuring data accuracy and compliance. Familiarity with the Power Platform (Power Apps, Power Automate, Power BI) to extend Dynamics 365 capabilities. Would you like to work within a collaborative and supportive environment that helps you grow and develop your career? Requirement: You must have the following visas/Right to work to be eligible for this position: British Citizen, ILR, Dependant Visa, Pre-settled status etc. You must be UK-based to apply for this role. *If you don't have the right to work in the UK or are not located in the UK, you will be automatically rejected from the process due to client requirement. Apply today!
Summary: Solution Architect Rural/Corporate Credit Risk Models Join our Tribe Credit Analytics as a Solution Architect for Rural/Corporate Credit Risk Models. Lead the development of cutting-edge credit risk models for our client's loan portfolios. Collaborate with stakeholders to translate requirements into functional architectural designs. Coordinate design and implementation efforts while ensuring alignment with business objectives. Leverage your expertise in IT architecture principles and regulatory requirements to excel in this dynamic environment. You can reach out regarding the role with Alex below here for enqueries. Michael Bailey International is acting as an Employment Business in relation to this vacancy.
10/05/2024
Project-based
Summary: Solution Architect Rural/Corporate Credit Risk Models Join our Tribe Credit Analytics as a Solution Architect for Rural/Corporate Credit Risk Models. Lead the development of cutting-edge credit risk models for our client's loan portfolios. Collaborate with stakeholders to translate requirements into functional architectural designs. Coordinate design and implementation efforts while ensuring alignment with business objectives. Leverage your expertise in IT architecture principles and regulatory requirements to excel in this dynamic environment. You can reach out regarding the role with Alex below here for enqueries. Michael Bailey International is acting as an Employment Business in relation to this vacancy.
We are Global IT Recruitment specialist that provides support to the clients across UK, and Europe. We have an excellent job opportunity for you. Job Title: Channel Marketing Customer Lifecycle Manager Location: Shoreditch, London (Hybrid) Duration: 12 months contract initially What you'll do: As the Channel Marketing CLM, you will play a crucial role in driving the success of our channel marketing efforts with client's resellers and distributors in EMEA. Using your expertise in customer insights & journeys, product strategies, data and automation, you will oversee the development and maintenance of automated retention, migration and upsell journeys. This includes full journey development, data analysis, content creation, agency briefings, partner enablement, campaign automation, performance tracking and reporting. You will be responsible for managing the CLM journey based on clear data points that reveal opportunities for growth with our installed base and partners. In addition, you will track migration ratios, report on campaign performance, and highlight the contributions of our partners, geographies, and segments. You will also oversee the setup and management of channel campaign operations using a range of tools, and collaboration with agencies. What you need to succeed: With a customer centric approach and your ability to scope out and build customer journeys, creative campaigns, and performance optimization you will ensure that our digital marketplace journey is optimized for partner & customer experiences. In addition, you will successfully build, launch and manage creative renewal and nurture streams for both the Document Cloud and Creative cloud business. You will represent the CLM performance and planning in regular business and marketing updates keeping stakeholders informed and engaged, making you a vital contributor to the success of the B2B Marketing team. If you have a passion for driving results and a strong background in both creative campaign development, creative agency management, data, analytics, and hands on channel marketing experience, we want you to join us as our next Channel Marketing Customer Lifecycle manager! Job requirements: 3-5 years of mid to senior level experience in a similar role Strong analysis skills with a deep understanding of data Proficiency in customer journey mapping Proven track record in managing agencies and leading creative briefings Hands-on experience in channel marketing
09/05/2024
Project-based
We are Global IT Recruitment specialist that provides support to the clients across UK, and Europe. We have an excellent job opportunity for you. Job Title: Channel Marketing Customer Lifecycle Manager Location: Shoreditch, London (Hybrid) Duration: 12 months contract initially What you'll do: As the Channel Marketing CLM, you will play a crucial role in driving the success of our channel marketing efforts with client's resellers and distributors in EMEA. Using your expertise in customer insights & journeys, product strategies, data and automation, you will oversee the development and maintenance of automated retention, migration and upsell journeys. This includes full journey development, data analysis, content creation, agency briefings, partner enablement, campaign automation, performance tracking and reporting. You will be responsible for managing the CLM journey based on clear data points that reveal opportunities for growth with our installed base and partners. In addition, you will track migration ratios, report on campaign performance, and highlight the contributions of our partners, geographies, and segments. You will also oversee the setup and management of channel campaign operations using a range of tools, and collaboration with agencies. What you need to succeed: With a customer centric approach and your ability to scope out and build customer journeys, creative campaigns, and performance optimization you will ensure that our digital marketplace journey is optimized for partner & customer experiences. In addition, you will successfully build, launch and manage creative renewal and nurture streams for both the Document Cloud and Creative cloud business. You will represent the CLM performance and planning in regular business and marketing updates keeping stakeholders informed and engaged, making you a vital contributor to the success of the B2B Marketing team. If you have a passion for driving results and a strong background in both creative campaign development, creative agency management, data, analytics, and hands on channel marketing experience, we want you to join us as our next Channel Marketing Customer Lifecycle manager! Job requirements: 3-5 years of mid to senior level experience in a similar role Strong analysis skills with a deep understanding of data Proficiency in customer journey mapping Proven track record in managing agencies and leading creative briefings Hands-on experience in channel marketing
Modern Workplace Engineer Northampton - hybrid £56,000 - £66,000 VIQU are seeking a Modern Workplace Engineer to join a multinational IT business that specialise in providing a broad spectrum of IT services and solutions, from IT consulting and system integrations to cloud services and E-commerce solutions. The successful Modern Workplace Engineer will be responsible for planning, designing, migrating, and securing Microsoft Cloud solutions for clients. Your main objective will revolve around grasping clients' needs to adeptly craft and implement Modern Workplace and Microsoft security solutions, adhering to best practices. You will maintain collaboration and clear communication with all relevant stakeholders, as this will be pivotal in ensuring the delivery of top-notch solutions and services. The Modern Workplace Engineerwill possess a profound understanding of Microsoft Security & Modern Workplace technologies. You will be required to travel to client sites around Northampton and London occasionally (frequency is dependent on the project) Requirements of the Modern Workplace Engineer: Demonstrated expertise in architecting and deploying client solutions within Microsoft Cloud Security and Modern Workplace. Strong proficiency in Microsoft cloud services, particularly Azure and Microsoft 365. Extensive knowledge of EMS technologies such as Microsoft Intune, Azure Active Directory, and Conditional Access. Familiarity with mobile device and application management, as well as identity and access management principles. Solid grasp of information protection and data security, including Azure Cloud Security. Experience with security assessment methodologies and automation Scripting using PowerShell, Azure CLI, or similar tools. Proficiency in utilising monitoring and logging tools like Azure Monitor, Log Analytics, and Application Insights. Exceptional problem-solving skills, especially in troubleshooting complex issues. Relevant Azure certifications (eg, Azure Administrator Associate, Azure Solutions Architect Expert, Azure Security Engineer Associate). Excellent communication and collaboration abilities with both technical and non-technical stakeholders. Strong commitment to continuous learning and self-improvement in cloud computing and security domains. To discuss this opportunity further, APPLY NOW for a confidential conversation with your VIQU Consultant. For additional information, contact Katie Dark. If you refer someone ideal for this role, VIQU offers an introduction fee up to £1,000 once your referral starts work with our client (terms apply). Modern Workplace Engineer Northampton - hybrid £56,000 - £66,000
09/05/2024
Full time
Modern Workplace Engineer Northampton - hybrid £56,000 - £66,000 VIQU are seeking a Modern Workplace Engineer to join a multinational IT business that specialise in providing a broad spectrum of IT services and solutions, from IT consulting and system integrations to cloud services and E-commerce solutions. The successful Modern Workplace Engineer will be responsible for planning, designing, migrating, and securing Microsoft Cloud solutions for clients. Your main objective will revolve around grasping clients' needs to adeptly craft and implement Modern Workplace and Microsoft security solutions, adhering to best practices. You will maintain collaboration and clear communication with all relevant stakeholders, as this will be pivotal in ensuring the delivery of top-notch solutions and services. The Modern Workplace Engineerwill possess a profound understanding of Microsoft Security & Modern Workplace technologies. You will be required to travel to client sites around Northampton and London occasionally (frequency is dependent on the project) Requirements of the Modern Workplace Engineer: Demonstrated expertise in architecting and deploying client solutions within Microsoft Cloud Security and Modern Workplace. Strong proficiency in Microsoft cloud services, particularly Azure and Microsoft 365. Extensive knowledge of EMS technologies such as Microsoft Intune, Azure Active Directory, and Conditional Access. Familiarity with mobile device and application management, as well as identity and access management principles. Solid grasp of information protection and data security, including Azure Cloud Security. Experience with security assessment methodologies and automation Scripting using PowerShell, Azure CLI, or similar tools. Proficiency in utilising monitoring and logging tools like Azure Monitor, Log Analytics, and Application Insights. Exceptional problem-solving skills, especially in troubleshooting complex issues. Relevant Azure certifications (eg, Azure Administrator Associate, Azure Solutions Architect Expert, Azure Security Engineer Associate). Excellent communication and collaboration abilities with both technical and non-technical stakeholders. Strong commitment to continuous learning and self-improvement in cloud computing and security domains. To discuss this opportunity further, APPLY NOW for a confidential conversation with your VIQU Consultant. For additional information, contact Katie Dark. If you refer someone ideal for this role, VIQU offers an introduction fee up to £1,000 once your referral starts work with our client (terms apply). Modern Workplace Engineer Northampton - hybrid £56,000 - £66,000
Service Asset and Configuration Management Analyst - Working with a dynamic financial organisation in the heart of the city, whilst not essential any previous Financial/Banking experience would be highly beneficial and will have at least 2+ years previous experience in a Business Systems Analyst/IT Business Analysts role. As a Service Asset and Configuration Management Analyst, you will play a crucial role in ensuring the accuracy and integrity of our Configuration Management Database (CMDB) within the Atlassian platform as well as the source systems. You will collaborate with various teams, to manage and optimize our CMDB, enhancing our overall IT service management capabilities. You should possess excellent communication and team working skills and have confidence working on your own initiative. The role also involves making suggestions and improvements to processes and tooling, ensuring all processes are documented and followed and working with several data sources to ensure accuracy and completeness of data. You will have experience in process ownership, complex service delivery, and IT asset management. Strong leadership, communication, and attention to detail are also key to success in this role. Responsibilities: CMDB Configuration: Maintain and configure the CMDB schema to align with the company's IT infrastructure, services, and assets. Use Discovery to automatically discover and map the IT infrastructure assets. Managing user access. Data Integrity: Continuously monitor and improve data quality, accuracy, and consistency within the CMDB as well as the source systems, identifying and resolving discrepancies. Change Management: Oversee the CMDB in the context of change management, ensuring that changes to configuration items (CIs) are well-documented and approved, and that the CMDB is updated accordingly. CI Relationship Management: Establish and maintain relationships between CIs, ensuring the CMDB accurately reflects the interdependencies of IT components and business services using service mapping. Data Enrichment: Collaborate with various teams to enrich CMDB data with relevant information, such as technical specifications, vendor details, and ownership information. Audit and Compliance: Conduct regular audits to ensure compliance with ITIL best practices and industry standards for CMDB management. Reporting and Analytics: Generate reports and provide insights to support decision-making, resource allocation, and improvement initiatives based on CMDB data. Documentation: Create and maintain documentation related to CMDB processes, standards, and procedures. Collaboration: Work closely with Technology teams to understand their CMDB needs. Competencies A collaborative team player, approachable, self-efficient and influences a positive work environment. Demonstrates curiosity Resilient in a challenging, fast-paced environment Excels at building relationships, networking and influencing others. Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness Skills and Experience Experience working within IT in an Asset Management capacity. Experience administering and managing a CMDB (Configuration Management Database) to monitor and manage the asset life cycle of devices including provisioning repairing and decommissioning to ensure efficient and effective best use of assets. Experience with Atlassian highly desirable ITIL 3 or 4 Foundation Knowledge of inventory systems (ie Lansweeper, Crowd Strike) Background in IT asset and configuration management. 4Experience with IT service management tools and platforms. Knowledge in working with either Asset Management and/or Configuration Management processes and systems or ITIL processes. Excellent verbal and written communication skills Experience working in a regulated environment and knowledge of the risk and compliance requirements associated with this.
08/05/2024
Full time
Service Asset and Configuration Management Analyst - Working with a dynamic financial organisation in the heart of the city, whilst not essential any previous Financial/Banking experience would be highly beneficial and will have at least 2+ years previous experience in a Business Systems Analyst/IT Business Analysts role. As a Service Asset and Configuration Management Analyst, you will play a crucial role in ensuring the accuracy and integrity of our Configuration Management Database (CMDB) within the Atlassian platform as well as the source systems. You will collaborate with various teams, to manage and optimize our CMDB, enhancing our overall IT service management capabilities. You should possess excellent communication and team working skills and have confidence working on your own initiative. The role also involves making suggestions and improvements to processes and tooling, ensuring all processes are documented and followed and working with several data sources to ensure accuracy and completeness of data. You will have experience in process ownership, complex service delivery, and IT asset management. Strong leadership, communication, and attention to detail are also key to success in this role. Responsibilities: CMDB Configuration: Maintain and configure the CMDB schema to align with the company's IT infrastructure, services, and assets. Use Discovery to automatically discover and map the IT infrastructure assets. Managing user access. Data Integrity: Continuously monitor and improve data quality, accuracy, and consistency within the CMDB as well as the source systems, identifying and resolving discrepancies. Change Management: Oversee the CMDB in the context of change management, ensuring that changes to configuration items (CIs) are well-documented and approved, and that the CMDB is updated accordingly. CI Relationship Management: Establish and maintain relationships between CIs, ensuring the CMDB accurately reflects the interdependencies of IT components and business services using service mapping. Data Enrichment: Collaborate with various teams to enrich CMDB data with relevant information, such as technical specifications, vendor details, and ownership information. Audit and Compliance: Conduct regular audits to ensure compliance with ITIL best practices and industry standards for CMDB management. Reporting and Analytics: Generate reports and provide insights to support decision-making, resource allocation, and improvement initiatives based on CMDB data. Documentation: Create and maintain documentation related to CMDB processes, standards, and procedures. Collaboration: Work closely with Technology teams to understand their CMDB needs. Competencies A collaborative team player, approachable, self-efficient and influences a positive work environment. Demonstrates curiosity Resilient in a challenging, fast-paced environment Excels at building relationships, networking and influencing others. Strategic collaborator with insight and agility, able to anticipate future challenges, ensuring operational effectiveness Skills and Experience Experience working within IT in an Asset Management capacity. Experience administering and managing a CMDB (Configuration Management Database) to monitor and manage the asset life cycle of devices including provisioning repairing and decommissioning to ensure efficient and effective best use of assets. Experience with Atlassian highly desirable ITIL 3 or 4 Foundation Knowledge of inventory systems (ie Lansweeper, Crowd Strike) Background in IT asset and configuration management. 4Experience with IT service management tools and platforms. Knowledge in working with either Asset Management and/or Configuration Management processes and systems or ITIL processes. Excellent verbal and written communication skills Experience working in a regulated environment and knowledge of the risk and compliance requirements associated with this.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this Hybrid contract role* Prestigious Financial Institution is currently seeking an IT Asset Management Associate. Candidate will support the management and performance of IT Asset Management, and subsequently IT Service Management (ITSM), solutions that will effectively and efficiently support the strategic objectives and operational needs Responsibilities. This position is responsible for supporting the population and maintenance of the ServiceNow Software Hardware Management Database. This person will provided services to the ITSM team, and will be responsible for the day-to-day activities relating to hardware asset management, including procurement and onboarding documentation, asset tracking, auditing, and disposal, to ensure compliance with procedures and standards. This person will also collaborate with the rest of the ServiceNow platform team, Configuration Management team, Discovery team, ITSM team and Software Asset Management team members on various technical integrations. Qualifications: Experience with ServiceNow. Experience with HamPro, AssetTrack, dcTrack and other hardware management softwares. Experience interpreting licensing terms and conditions, purchase orders, and service agreements. Knowledge of Hardware Asset life cycle from request to disposal. Knowledge of inventory process and controls including asset tagging and data cleansing. Experience in ServiceNow Orchestration and Performance Analytics. Ability to collaborate and communicate effectively across multiple stakeholders to ensure an effective system that adheres to governance standards. Broad general knowledge of IT infrastructure topology including typical application, server, and network configurations. Experience with Microsoft Office desktop tools (Project, Word, Excel), Atlassian tools (JIRA, Confluence).
07/05/2024
Project-based
*We are unable to sponsor for this Hybrid contract role* Prestigious Financial Institution is currently seeking an IT Asset Management Associate. Candidate will support the management and performance of IT Asset Management, and subsequently IT Service Management (ITSM), solutions that will effectively and efficiently support the strategic objectives and operational needs Responsibilities. This position is responsible for supporting the population and maintenance of the ServiceNow Software Hardware Management Database. This person will provided services to the ITSM team, and will be responsible for the day-to-day activities relating to hardware asset management, including procurement and onboarding documentation, asset tracking, auditing, and disposal, to ensure compliance with procedures and standards. This person will also collaborate with the rest of the ServiceNow platform team, Configuration Management team, Discovery team, ITSM team and Software Asset Management team members on various technical integrations. Qualifications: Experience with ServiceNow. Experience with HamPro, AssetTrack, dcTrack and other hardware management softwares. Experience interpreting licensing terms and conditions, purchase orders, and service agreements. Knowledge of Hardware Asset life cycle from request to disposal. Knowledge of inventory process and controls including asset tagging and data cleansing. Experience in ServiceNow Orchestration and Performance Analytics. Ability to collaborate and communicate effectively across multiple stakeholders to ensure an effective system that adheres to governance standards. Broad general knowledge of IT infrastructure topology including typical application, server, and network configurations. Experience with Microsoft Office desktop tools (Project, Word, Excel), Atlassian tools (JIRA, Confluence).
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. 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. 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. 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. 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. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
07/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. 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. 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. 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. 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. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. 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. 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. 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. 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. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
07/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. 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. 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. 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. 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. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
*We are unable to sponsor for this Hybrid contract role* Prestigious Financial Institution is currently seeking an IT Asset Management Associate. Candidate will support the management and performance of IT Asset Management, and subsequently IT Service Management (ITSM), solutions that will effectively and efficiently support the strategic objectives and operational needs Responsibilities. This position is responsible for supporting the population and maintenance of the ServiceNow Software Hardware Management Database. This person will provided services to the ITSM team, and will be responsible for the day-to-day activities relating to hardware asset management, including procurement and onboarding documentation, asset tracking, auditing, and disposal, to ensure compliance with procedures and standards. This person will also collaborate with the rest of the ServiceNow platform team, Configuration Management team, Discovery team, ITSM team and Software Asset Management team members on various technical integrations. Qualifications: Experience with ServiceNow. Experience with HamPro, AssetTrack, dcTrack and other hardware management softwares. Experience interpreting licensing terms and conditions, purchase orders, and service agreements. Knowledge of Hardware Asset life cycle from request to disposal. Knowledge of inventory process and controls including asset tagging and data cleansing. Experience in ServiceNow Orchestration and Performance Analytics. Ability to collaborate and communicate effectively across multiple stakeholders to ensure an effective system that adheres to governance standards. Broad general knowledge of IT infrastructure topology including typical application, server, and network configurations. Experience with Microsoft Office desktop tools (Project, Word, Excel), Atlassian tools (JIRA, Confluence).
02/05/2024
Project-based
*We are unable to sponsor for this Hybrid contract role* Prestigious Financial Institution is currently seeking an IT Asset Management Associate. Candidate will support the management and performance of IT Asset Management, and subsequently IT Service Management (ITSM), solutions that will effectively and efficiently support the strategic objectives and operational needs Responsibilities. This position is responsible for supporting the population and maintenance of the ServiceNow Software Hardware Management Database. This person will provided services to the ITSM team, and will be responsible for the day-to-day activities relating to hardware asset management, including procurement and onboarding documentation, asset tracking, auditing, and disposal, to ensure compliance with procedures and standards. This person will also collaborate with the rest of the ServiceNow platform team, Configuration Management team, Discovery team, ITSM team and Software Asset Management team members on various technical integrations. Qualifications: Experience with ServiceNow. Experience with HamPro, AssetTrack, dcTrack and other hardware management softwares. Experience interpreting licensing terms and conditions, purchase orders, and service agreements. Knowledge of Hardware Asset life cycle from request to disposal. Knowledge of inventory process and controls including asset tagging and data cleansing. Experience in ServiceNow Orchestration and Performance Analytics. Ability to collaborate and communicate effectively across multiple stakeholders to ensure an effective system that adheres to governance standards. Broad general knowledge of IT infrastructure topology including typical application, server, and network configurations. Experience with Microsoft Office desktop tools (Project, Word, Excel), Atlassian tools (JIRA, Confluence).