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.
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.
Power Platform Developer Location: Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices. Job Overview Triad Group Plc is seeking a highly skilled and experienced M365/Power Platform Developer to join our dynamic team. As a M365/Power Platform Developer, you will play a pivotal role in designing, implementing, and maintaining scalable solutions built on the Microsoft Power Platform. The successful candidate will possess a deep understanding of Power Apps, Power Automate, Power BI, Dataverse, and C# and will be responsible for translating business requirements into robust, efficient, and scalable Power Platform solutions. As a consultant at Triad, you will play a pivotal role in shaping the technological landscape, defining, designing, and delivering digital solutions across public, private, and third sectors. Operating within a Company that values autonomy and creativity, you will be at the forefront of solving complex problems, contributing to a culture of innovation that has been the hallmark of Triad's 35-year success story. Why Triad Glassdoor score Triad at a whopping 4.6/5 98% of our staff say they'd recommend Triad to a friend 100% CEO approval. "From day one, I've felt a sense of support and community working at Triad. The range of projects and flexibility to try different roles means I can forge my own career path with the support of my peers." About Us Join an award-winning team recognised twice for "Project Excellence" at "The Chartered Institute for IT & Computing Awards." Triad operates at the heart of the public sector, understanding its technology challenges, and delivering goals at the best value for UK citizens. We are on a mission to become the UK's favourite technology company by 2025. Triad defines, designs, and delivers digital solutions, boasting a 35-year track record of success across public, private, and third sectors. Our flat management structure and absence of burdensome hierarchy promote autonomy, fostering a creative and innovative environment for solving complex problems. At Triad, we foster the development of diverse skill sets whilst supporting training in specialisms that you excel at. Core Requirements Excellent communication skills. Experience working within Agile Contribute to the development and delivery of new applications and services to support the client's ICT strategy and business objectives. Development, administration and support of Microsoft Technologies including Dynamics 365, SharePoint and M365 suite including bespoke applications built with Power Platform. An ability to deliver innovative Dynamics 365, Power Platform and SharePoint online solutions through all stages of the development life cycle. Experience building Canvas and Model Driven Power Apps. Configuration and customisation of Dynamics 365 and SharePoint Online and associated components using plugins, custom workflow assemblies and JavaScript, as well as extended Azure/Office 365 functionality. Familiarity with Microsoft Power BI. Awareness of the different products in the Microsoft solutions suite. Eagerness to apply fundamental software engineering skills irrespective of the platform, language or business domain. A passion for all things technical. A mental catalogue of thoughts and ideas they are burning to explore. The initiative and entrepreneurial spirit to generate new technical projects, challenge existing processes and develop and enhance development practices. N ice-to-Have: Cloud Native Services experienced but not limited to Logic/Function Apps. GDS experience. Relevant intermediate or advanced level AZ/MB/MS/PL certifications What you will get 25 days annual leave, excluding bank holidays. Matched pension contributions of 5%. Free private health care and medical cover with Bupa (taxable as a benefit). Perkbox membership. Gym membership (up to £40 per month towards membership plus free membership at Lakeshore Fitness in Milton Keynes). Cycle to work scheme. Free Health and Wellbeing services (AIG Smart Health and Canada Life WeCare). Interested? If this role is of interest to you or you require any further information, please contact Ryan Jordan or submit your application now! Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. Triad Group Plc is a signatory of the Tech Talent Charter aiming for greater inclusion and diversity in technology roles. In addition, as a Disability Confident Committed employer, our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role.
10/05/2024
Full time
Power Platform Developer Location: Based at client locations, working remotely, or based in our Godalming or Milton Keynes offices. Job Overview Triad Group Plc is seeking a highly skilled and experienced M365/Power Platform Developer to join our dynamic team. As a M365/Power Platform Developer, you will play a pivotal role in designing, implementing, and maintaining scalable solutions built on the Microsoft Power Platform. The successful candidate will possess a deep understanding of Power Apps, Power Automate, Power BI, Dataverse, and C# and will be responsible for translating business requirements into robust, efficient, and scalable Power Platform solutions. As a consultant at Triad, you will play a pivotal role in shaping the technological landscape, defining, designing, and delivering digital solutions across public, private, and third sectors. Operating within a Company that values autonomy and creativity, you will be at the forefront of solving complex problems, contributing to a culture of innovation that has been the hallmark of Triad's 35-year success story. Why Triad Glassdoor score Triad at a whopping 4.6/5 98% of our staff say they'd recommend Triad to a friend 100% CEO approval. "From day one, I've felt a sense of support and community working at Triad. The range of projects and flexibility to try different roles means I can forge my own career path with the support of my peers." About Us Join an award-winning team recognised twice for "Project Excellence" at "The Chartered Institute for IT & Computing Awards." Triad operates at the heart of the public sector, understanding its technology challenges, and delivering goals at the best value for UK citizens. We are on a mission to become the UK's favourite technology company by 2025. Triad defines, designs, and delivers digital solutions, boasting a 35-year track record of success across public, private, and third sectors. Our flat management structure and absence of burdensome hierarchy promote autonomy, fostering a creative and innovative environment for solving complex problems. At Triad, we foster the development of diverse skill sets whilst supporting training in specialisms that you excel at. Core Requirements Excellent communication skills. Experience working within Agile Contribute to the development and delivery of new applications and services to support the client's ICT strategy and business objectives. Development, administration and support of Microsoft Technologies including Dynamics 365, SharePoint and M365 suite including bespoke applications built with Power Platform. An ability to deliver innovative Dynamics 365, Power Platform and SharePoint online solutions through all stages of the development life cycle. Experience building Canvas and Model Driven Power Apps. Configuration and customisation of Dynamics 365 and SharePoint Online and associated components using plugins, custom workflow assemblies and JavaScript, as well as extended Azure/Office 365 functionality. Familiarity with Microsoft Power BI. Awareness of the different products in the Microsoft solutions suite. Eagerness to apply fundamental software engineering skills irrespective of the platform, language or business domain. A passion for all things technical. A mental catalogue of thoughts and ideas they are burning to explore. The initiative and entrepreneurial spirit to generate new technical projects, challenge existing processes and develop and enhance development practices. N ice-to-Have: Cloud Native Services experienced but not limited to Logic/Function Apps. GDS experience. Relevant intermediate or advanced level AZ/MB/MS/PL certifications What you will get 25 days annual leave, excluding bank holidays. Matched pension contributions of 5%. Free private health care and medical cover with Bupa (taxable as a benefit). Perkbox membership. Gym membership (up to £40 per month towards membership plus free membership at Lakeshore Fitness in Milton Keynes). Cycle to work scheme. Free Health and Wellbeing services (AIG Smart Health and Canada Life WeCare). Interested? If this role is of interest to you or you require any further information, please contact Ryan Jordan or submit your application now! Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. Triad Group Plc is a signatory of the Tech Talent Charter aiming for greater inclusion and diversity in technology roles. In addition, as a Disability Confident Committed employer, our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role.
M365/Power Platform Solutions Architect Location Based at client locations or working remotely Salary Negotiable, plus company benefits Job Overview Triad Group Plc is seeking a highly skilled and experienced M365/Power Platform Solutions Architect to join our dynamic team. As a M365/Power Platform Solutions Architect, you will play a pivotal role in designing, implementing, and maintaining scalable solutions built on the Microsoft Power Platform. The successful candidate will possess a deep understanding of Power Apps, Power Automate, Power BI, Dataverse, and C# and will be responsible for translating business requirements into robust, efficient, and scalable Power Platform solutions. The role will involve assessing new methods and technologies (within the power platform and outside) to inform the direction of the development, before implementing recommendations. As a consultant at Triad, you will play a pivotal role in shaping the technological landscape, defining, designing, and delivering digital solutions across public, private, and third sectors. Operating within a Company that values autonomy and creativity, you will be at the forefront of solving complex problems, contributing to a culture of innovation that has been the hallmark of Triad's 35-year success story. Why Triad: Glassdoor score of 4.8/5 95% of our staff would recommend Triad to a friend 100% CEO approval "At Triad, I've felt a sense of support and community from day one. The range of projects and flexibility to try different roles means I can forge my own career path with the support of my peers." About Us Join an award-winning team recognised twice for "Project Excellence" at "The Chartered Institute for IT & Computing Awards." Triad operates at the heart of the public sector, understanding its technology challenges, and delivering goals at the best value for UK citizens. We are on a mission to become the UK's favourite technology company by 2025. Triad defines, designs, and delivers digital solutions, boasting a 35-year track record of success across public, private, and third sectors. Our flat management structure and absence of burdensome hierarchy promote autonomy, fostering a creative and innovative environment for solving complex problems. Responsibilities Solution Design and Architecture: Collaborate with business stakeholders to understand requirements and translate them into technical solutions leveraging the Power Platform. Design end-to-end solutions on Power Platform, considering scalability, security, and performance aspects. Experience architecting C# solutions. Technical Leadership: Provide technical leadership and guidance to development teams on Power Platform best practices. Mentor and coach team members to enhance their Power Platform skills and knowledge. Customisation and Development: Develop custom Power Apps, Power Automate flows, and Power BI reports to meet business requirements. Create and customise entities, fields, forms, and views in Dataverse. Integration: Design and implement integrations between Power Platform and other enterprise systems. Work with APIs and connectors to ensure seamless data flow between Power Platform and external systems. Governance and Compliance: Define and implement governance policies for Power Platform usage. Ensure compliance with organisational and industry-specific regulations. Performance Optimisation: Monitor and optimise the performance of Power Platform solutions. Identify and resolve performance bottlenecks and scalability issues. Documentation: Create and maintain comprehensive technical documentation for Power Platform solutions. Document best practices, guidelines, and standards for Power Platform development. Qualifications: Hold current SC-level security clearance. Bachelor's degree in computer science, Information Technology, or a related field. Proven experience as a Technical Architect with a focus on Microsoft Power Platform. In-depth knowledge of Power Apps, Power Automate, Power BI, Dataverse, and substantial experience in C# architecture. Strong understanding of Datamodelling and relational database concepts. Experience in designing and implementing complex Power Platform solutions. Familiarity with Microsoft Azure services and integration capabilities. Excellent communication and interpersonal skills. Relevant certifications in Power Platform are a plus. Preferred Skills: Microsoft Certified: Power Platform Solution Architect Expert. Experience with Power Virtual Agents. Knowledge of AI and machine learning concepts within Power Platform. What you will get 25 days annual leave, excluding bank holidays. Matched pension contributions of 5%. Free private health care and medical cover with Bupa (taxable as a benefit). Perkbox membership. Gym membership (up to £40 per month towards membership plus free membership at Lakeshore Fitness in Milton Keynes). Cycle to work scheme. Free Health and Wellbeing services (AIG Smart Health and Canada Life WeCare). Interested? Please contact Ryan Jordan for the full job description or submit your application now. Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process has been recognised as inclusive and accessible to disabled people who meet the minimum criteria for any role. We are a signatory on the Tech Talent Charter that aims to bring industries and organisations together to drive greater inclusion and diversity in technology roles, in addition, as a Disability Confident employer, our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role.
10/05/2024
Full time
M365/Power Platform Solutions Architect Location Based at client locations or working remotely Salary Negotiable, plus company benefits Job Overview Triad Group Plc is seeking a highly skilled and experienced M365/Power Platform Solutions Architect to join our dynamic team. As a M365/Power Platform Solutions Architect, you will play a pivotal role in designing, implementing, and maintaining scalable solutions built on the Microsoft Power Platform. The successful candidate will possess a deep understanding of Power Apps, Power Automate, Power BI, Dataverse, and C# and will be responsible for translating business requirements into robust, efficient, and scalable Power Platform solutions. The role will involve assessing new methods and technologies (within the power platform and outside) to inform the direction of the development, before implementing recommendations. As a consultant at Triad, you will play a pivotal role in shaping the technological landscape, defining, designing, and delivering digital solutions across public, private, and third sectors. Operating within a Company that values autonomy and creativity, you will be at the forefront of solving complex problems, contributing to a culture of innovation that has been the hallmark of Triad's 35-year success story. Why Triad: Glassdoor score of 4.8/5 95% of our staff would recommend Triad to a friend 100% CEO approval "At Triad, I've felt a sense of support and community from day one. The range of projects and flexibility to try different roles means I can forge my own career path with the support of my peers." About Us Join an award-winning team recognised twice for "Project Excellence" at "The Chartered Institute for IT & Computing Awards." Triad operates at the heart of the public sector, understanding its technology challenges, and delivering goals at the best value for UK citizens. We are on a mission to become the UK's favourite technology company by 2025. Triad defines, designs, and delivers digital solutions, boasting a 35-year track record of success across public, private, and third sectors. Our flat management structure and absence of burdensome hierarchy promote autonomy, fostering a creative and innovative environment for solving complex problems. Responsibilities Solution Design and Architecture: Collaborate with business stakeholders to understand requirements and translate them into technical solutions leveraging the Power Platform. Design end-to-end solutions on Power Platform, considering scalability, security, and performance aspects. Experience architecting C# solutions. Technical Leadership: Provide technical leadership and guidance to development teams on Power Platform best practices. Mentor and coach team members to enhance their Power Platform skills and knowledge. Customisation and Development: Develop custom Power Apps, Power Automate flows, and Power BI reports to meet business requirements. Create and customise entities, fields, forms, and views in Dataverse. Integration: Design and implement integrations between Power Platform and other enterprise systems. Work with APIs and connectors to ensure seamless data flow between Power Platform and external systems. Governance and Compliance: Define and implement governance policies for Power Platform usage. Ensure compliance with organisational and industry-specific regulations. Performance Optimisation: Monitor and optimise the performance of Power Platform solutions. Identify and resolve performance bottlenecks and scalability issues. Documentation: Create and maintain comprehensive technical documentation for Power Platform solutions. Document best practices, guidelines, and standards for Power Platform development. Qualifications: Hold current SC-level security clearance. Bachelor's degree in computer science, Information Technology, or a related field. Proven experience as a Technical Architect with a focus on Microsoft Power Platform. In-depth knowledge of Power Apps, Power Automate, Power BI, Dataverse, and substantial experience in C# architecture. Strong understanding of Datamodelling and relational database concepts. Experience in designing and implementing complex Power Platform solutions. Familiarity with Microsoft Azure services and integration capabilities. Excellent communication and interpersonal skills. Relevant certifications in Power Platform are a plus. Preferred Skills: Microsoft Certified: Power Platform Solution Architect Expert. Experience with Power Virtual Agents. Knowledge of AI and machine learning concepts within Power Platform. What you will get 25 days annual leave, excluding bank holidays. Matched pension contributions of 5%. Free private health care and medical cover with Bupa (taxable as a benefit). Perkbox membership. Gym membership (up to £40 per month towards membership plus free membership at Lakeshore Fitness in Milton Keynes). Cycle to work scheme. Free Health and Wellbeing services (AIG Smart Health and Canada Life WeCare). Interested? Please contact Ryan Jordan for the full job description or submit your application now. Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process has been recognised as inclusive and accessible to disabled people who meet the minimum criteria for any role. We are a signatory on the Tech Talent Charter that aims to bring industries and organisations together to drive greater inclusion and diversity in technology roles, in addition, as a Disability Confident employer, our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role.
What can you expect as a Senior Data Engineer - SQL Azure/Data Factory/Databricks/Python/Azure DevOps Working for a respected Microsoft Gold Partner that will help you gain Microsoft certifications; Joining a rapidly expanding and innovative organisation with exciting plans for 2024, that will give you the freedom to grow as an Azure Data professional, with a clear career path; Working with clients across various industries on exciting projects that will see you utilising the latest products within the Microsoft Azure and SQL Data analytics stack; A flat hierarchy and no-door policy. You won't have a manager but a mentor who will help you grow from both a business and technical perspective; A basic salary between £60k - £70k is on offer depending on your depth and breadth of experience in Azure Data Platform engineering and Microsoft Business Intelligence and if you have worked for a consultancy previously. Multiple Senior Data Engineers are required to join a well-respected Microsoft Gold Partner on a permanent basis. The Senior Data Engineer role will vary depending on client project requirements but will primarily focus on the delivery of enterprise-level applications in the Azure Data Services and Microsoft Cloud Business Intelligence arena. Whilst the role is NOT fully remote, there is a lot of flexibility around how often you would like to be in the office or work from home, with current requirements to be on client site are minimal. However, as a Senior Data Engineer, you should expect and be willing to travel to client site as and when required for discovery and playback meetings, etc Again, the basic salary on offer for the Senior Data Engineer position will range between £60,000 - 70,000 depending on experience, plus bonus and benefits. Skills & experience required for the Senior Data Engineer role: Current/previous experience taking a lead role in delivering Azure data solutions; Proven experience developing enterprise traditional Microsoft BI/Data Warehousing and Azure Data Analytics solutions Commercial experience working with one or more of the following Azure data services (ADS): Azure Data Factory, Azure Data Lake Store and Azure Data Lake Analytics with uSQL, Azure Databricks, Azure SQL DB and Azure SQL DW/Azure Synapse Analytics, Azure Analysis Services with DAX, etc Power BI data visualization (Power BI Desktop, Power BI Service) (desirable) Previous and recent experience working for a reputable consultancy (Highly desirable); Excellent stakeholder management experience. This is an excellent time for an Senior Data Engineer to join a Cloud Data Analytics Specialist with a prestigious client base where you can really make a name for yourself in the SQL community! To find out more, please send your CV to Lewis Blades for review. DISCLAIMER: Venturi is a staffing business dedicated to you, differentiating ourselves in the marketplace by quality of service and candidate delivery. Our highly skilled and experienced staff operate within dedicated markets to give you the best service possible. Venturi markets include Data & Business Intelligence, Data Science, Software Development & Engineering, DevOps & Cloud, Infrastructure & Support, Network & Security and Change & Business Transformation. Venturi operates as an employment agency and employment business. No terminology in this advert is intended to discriminate on the grounds of age, and we confirm that we are happy to accept applications from persons of any age for this role.
10/05/2024
Full time
What can you expect as a Senior Data Engineer - SQL Azure/Data Factory/Databricks/Python/Azure DevOps Working for a respected Microsoft Gold Partner that will help you gain Microsoft certifications; Joining a rapidly expanding and innovative organisation with exciting plans for 2024, that will give you the freedom to grow as an Azure Data professional, with a clear career path; Working with clients across various industries on exciting projects that will see you utilising the latest products within the Microsoft Azure and SQL Data analytics stack; A flat hierarchy and no-door policy. You won't have a manager but a mentor who will help you grow from both a business and technical perspective; A basic salary between £60k - £70k is on offer depending on your depth and breadth of experience in Azure Data Platform engineering and Microsoft Business Intelligence and if you have worked for a consultancy previously. Multiple Senior Data Engineers are required to join a well-respected Microsoft Gold Partner on a permanent basis. The Senior Data Engineer role will vary depending on client project requirements but will primarily focus on the delivery of enterprise-level applications in the Azure Data Services and Microsoft Cloud Business Intelligence arena. Whilst the role is NOT fully remote, there is a lot of flexibility around how often you would like to be in the office or work from home, with current requirements to be on client site are minimal. However, as a Senior Data Engineer, you should expect and be willing to travel to client site as and when required for discovery and playback meetings, etc Again, the basic salary on offer for the Senior Data Engineer position will range between £60,000 - 70,000 depending on experience, plus bonus and benefits. Skills & experience required for the Senior Data Engineer role: Current/previous experience taking a lead role in delivering Azure data solutions; Proven experience developing enterprise traditional Microsoft BI/Data Warehousing and Azure Data Analytics solutions Commercial experience working with one or more of the following Azure data services (ADS): Azure Data Factory, Azure Data Lake Store and Azure Data Lake Analytics with uSQL, Azure Databricks, Azure SQL DB and Azure SQL DW/Azure Synapse Analytics, Azure Analysis Services with DAX, etc Power BI data visualization (Power BI Desktop, Power BI Service) (desirable) Previous and recent experience working for a reputable consultancy (Highly desirable); Excellent stakeholder management experience. This is an excellent time for an Senior Data Engineer to join a Cloud Data Analytics Specialist with a prestigious client base where you can really make a name for yourself in the SQL community! To find out more, please send your CV to Lewis Blades for review. DISCLAIMER: Venturi is a staffing business dedicated to you, differentiating ourselves in the marketplace by quality of service and candidate delivery. Our highly skilled and experienced staff operate within dedicated markets to give you the best service possible. Venturi markets include Data & Business Intelligence, Data Science, Software Development & Engineering, DevOps & Cloud, Infrastructure & Support, Network & Security and Change & Business Transformation. Venturi operates as an employment agency and employment business. No terminology in this advert is intended to discriminate on the grounds of age, and we confirm that we are happy to accept applications from persons of any age for this role.
Spectrum IT Recruitment (South) Ltd
Southampton, Hampshire
Data Architect SQL, PowerBI, Azure synapse data warehouse, ETL Leading data transformation & strategy within the business Southampton based 2-3 days per week Spectrum IT has partnered with a leading green energy consultancy who supports and empowers companies with the journey to net zero. With a unique range of services, they tailor sustainable solutions for all our customers driving major reductions in costs, energy consumption and carbon emissions. They are a crucial part of building a sustainable and greener future for the planet and generations to come having impacts across the education sector, parts of the NHS and within private sector companies across the UK. As part of a large Data transformation within the business they are building a new Azure synapse data warehouse and consolidating multiple forms and streams of data into 1 centralised platform. The Data architect will be a crucial part of this project helping to analyse the current data estate, identify opportunities and weaknesses then build a roadmap for the data strategy. Key Skills: Highly advanced level of SQL querying & database management Advanced level PowerBI & strong experience building reports & dashboards A strong understanding of Azure data warehouses and/or data lakes An ability to analyse the companies data estate and identify strengths, weaknesses and opportunities Prior experience designing complex Azure data architecture Prior experience integrating multiple data streams or channels Strong communication skills and ability to analyse requirements Strong stakeholder and project management skills Beneficial skills: A degree in computer science or software engineering Any relevant Azure qualifications or certifications Experience in finance, insurance or energy sectors To apply or hear more about this role, please contact (see below) or call. Please note candidates must be UK based and possess a British passport or indefinite leave to remain in the UK. We cannot consider applications from those on PSW visa's or tier 2 spousal visas. This role is open to hybrid working but applications from candidates looking to relocate from abroad or un-commutable distances from the Southampton office cannot be considered. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
10/05/2024
Full time
Data Architect SQL, PowerBI, Azure synapse data warehouse, ETL Leading data transformation & strategy within the business Southampton based 2-3 days per week Spectrum IT has partnered with a leading green energy consultancy who supports and empowers companies with the journey to net zero. With a unique range of services, they tailor sustainable solutions for all our customers driving major reductions in costs, energy consumption and carbon emissions. They are a crucial part of building a sustainable and greener future for the planet and generations to come having impacts across the education sector, parts of the NHS and within private sector companies across the UK. As part of a large Data transformation within the business they are building a new Azure synapse data warehouse and consolidating multiple forms and streams of data into 1 centralised platform. The Data architect will be a crucial part of this project helping to analyse the current data estate, identify opportunities and weaknesses then build a roadmap for the data strategy. Key Skills: Highly advanced level of SQL querying & database management Advanced level PowerBI & strong experience building reports & dashboards A strong understanding of Azure data warehouses and/or data lakes An ability to analyse the companies data estate and identify strengths, weaknesses and opportunities Prior experience designing complex Azure data architecture Prior experience integrating multiple data streams or channels Strong communication skills and ability to analyse requirements Strong stakeholder and project management skills Beneficial skills: A degree in computer science or software engineering Any relevant Azure qualifications or certifications Experience in finance, insurance or energy sectors To apply or hear more about this role, please contact (see below) or call. Please note candidates must be UK based and possess a British passport or indefinite leave to remain in the UK. We cannot consider applications from those on PSW visa's or tier 2 spousal visas. This role is open to hybrid working but applications from candidates looking to relocate from abroad or un-commutable distances from the Southampton office cannot be considered. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
We're seeking a Technical Product Owner with experience in technical product management within Data & Analytics. Key Responsibilities: Define product vision, manage the product backlog and prioritize based on value & business preferences Collaborate with commercial teams and translate business requirements into technical specifications Utilize Azure (Data Platform) services and Azure Databricks (Delta Lake) for data management and analytics Apply analytics and machine learning techniques in a commercial context (market modelling, customer segmentation, pricing optimization, A/B testing) Balance the development team's demand and capacity, ensuring timely delivery of services Continually update knowledge on the latest trends in data analytics and AI Preferred experience includes work within commerce or marketing sectors. The successful candidate should have excellent communication skills, leadership experience, and a strong understanding of agile software development methodologies. Please reach out to me directly or send an email with your CV attached
08/05/2024
Project-based
We're seeking a Technical Product Owner with experience in technical product management within Data & Analytics. Key Responsibilities: Define product vision, manage the product backlog and prioritize based on value & business preferences Collaborate with commercial teams and translate business requirements into technical specifications Utilize Azure (Data Platform) services and Azure Databricks (Delta Lake) for data management and analytics Apply analytics and machine learning techniques in a commercial context (market modelling, customer segmentation, pricing optimization, A/B testing) Balance the development team's demand and capacity, ensuring timely delivery of services Continually update knowledge on the latest trends in data analytics and AI Preferred experience includes work within commerce or marketing sectors. The successful candidate should have excellent communication skills, leadership experience, and a strong understanding of agile software development methodologies. Please reach out to me directly or send an email with your CV attached
Michael Bailey Associates - Amsterdam
Rotterdam, Zuid-Holland
| Azure Data Engineer | Rotterdam | As an Azure Data Engineer, you will be instrumental in expanding our advanced data warehouse using state-of-the-art tools and techniques. Join us in shaping a more data-driven organization, addressing challenges in a dynamic environment. We've established a sophisticated mortgage data warehouse and aim to standardize mortgage data for formal reporting to supervisors. This entails integrating additional data sources and establishing a self-service environment for the bank services that mortgage colleagues, fostering data-driven decision-making. You'll closely collaborate with functional application managers and colleagues in the Data Engineer community, creating a lively learning environment. | Key Responsibilities | - Designing and developing Power BI Reports and Dashboards, utilizing Azure services like Azure Data Factory and Azure Databricks for advanced analytical insights and Business Intelligence solutions. - Building and managing data storage and retrieval systems using Azure storage services such as Azure Blob Storage, Azure Data Lake Storage, and Azure SQL Database. - Monitoring and troubleshooting data processing systems to ensure high availability, reliability, and compliance with data security regulations such as GDPR. - Engaging with stakeholders, challenging them with insightful inquiries. - Conducting training and knowledge sessions for platform users as necessary. | Requirements | We seek a dedicated data engineer with a solid background in Azure cloud services and a commitment to continuous learning. Key qualifications include: - Passion for Data, particularly Data Visualizations, Reporting, and Dashboards. - Proficiency in the Microsoft Power BI platform, including administration and reporting. - Strong Data modelling skills, comprehension of Multi-dimensional data sets, OLAP, and DAX. - Experience in Enterprise environments and involvement in at least three successful BI projects. - Bachelor's degree in Computer Science, Engineering, or a related field. - A minimum of 3 years of data engineering experience, with at least 1 year in Azure data engineering. - Previous exposure to banking/mortgage environments is advantageous. | Job details | - 36 hours per week - Hybrid - Full-time role If you're intrigued by this opportunity, please feel free to reach out to us. Michael Bailey International is acting as an Employment Business in relation to this vacancy.
08/05/2024
Project-based
| Azure Data Engineer | Rotterdam | As an Azure Data Engineer, you will be instrumental in expanding our advanced data warehouse using state-of-the-art tools and techniques. Join us in shaping a more data-driven organization, addressing challenges in a dynamic environment. We've established a sophisticated mortgage data warehouse and aim to standardize mortgage data for formal reporting to supervisors. This entails integrating additional data sources and establishing a self-service environment for the bank services that mortgage colleagues, fostering data-driven decision-making. You'll closely collaborate with functional application managers and colleagues in the Data Engineer community, creating a lively learning environment. | Key Responsibilities | - Designing and developing Power BI Reports and Dashboards, utilizing Azure services like Azure Data Factory and Azure Databricks for advanced analytical insights and Business Intelligence solutions. - Building and managing data storage and retrieval systems using Azure storage services such as Azure Blob Storage, Azure Data Lake Storage, and Azure SQL Database. - Monitoring and troubleshooting data processing systems to ensure high availability, reliability, and compliance with data security regulations such as GDPR. - Engaging with stakeholders, challenging them with insightful inquiries. - Conducting training and knowledge sessions for platform users as necessary. | Requirements | We seek a dedicated data engineer with a solid background in Azure cloud services and a commitment to continuous learning. Key qualifications include: - Passion for Data, particularly Data Visualizations, Reporting, and Dashboards. - Proficiency in the Microsoft Power BI platform, including administration and reporting. - Strong Data modelling skills, comprehension of Multi-dimensional data sets, OLAP, and DAX. - Experience in Enterprise environments and involvement in at least three successful BI projects. - Bachelor's degree in Computer Science, Engineering, or a related field. - A minimum of 3 years of data engineering experience, with at least 1 year in Azure data engineering. - Previous exposure to banking/mortgage environments is advantageous. | Job details | - 36 hours per week - Hybrid - Full-time role If you're intrigued by this opportunity, please feel free to reach out to us. Michael Bailey International is acting as an Employment Business in relation to this vacancy.
Director, AI and Data Science Salary: Open + Bonus Available in any of the following locations: Chicago, IL/Houston, TX/Salt Lake City, UT Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. 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. 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. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. 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). 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. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics 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.
07/05/2024
Full time
Director, AI and Data Science Salary: Open + Bonus Available in any of the following locations: Chicago, IL/Houston, TX/Salt Lake City, UT Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. 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. 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. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. 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). 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. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics 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.
Senior Application Engineer (Intapp Product Platform) Salary: Open + Bonus Location: First preference is Chicago, IL Also open to the following locations Dallas, TX/Austin, TX/Houston, TX/Boston, MA/Palo Alto, CA/San Francisco, CA/Los Angeles, CA/NYC, NY/Salt Lake City, UT/Miami, FL Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree Minimum 10 + years' experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years' experience with Azure cloud Experience with SQL, including stored procedures, functions and triggers is required. Experience with Intapp Platform Products - Walls, Intake, Conflicts, Terms, Workspaces Responsibilities Provide Level 3 operational or systematic support and maintenance over Intapp product platform (Walls, Intake, Conflicts, Terms). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Gather requirements, design, develop, test, and implement high-quality, user-friendly solutions. Solve or recommend solutions for complex issues and problems. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Serve as the technical SME for Intapp product platform and any other applications in scope. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team.
25/04/2024
Full time
Senior Application Engineer (Intapp Product Platform) Salary: Open + Bonus Location: First preference is Chicago, IL Also open to the following locations Dallas, TX/Austin, TX/Houston, TX/Boston, MA/Palo Alto, CA/San Francisco, CA/Los Angeles, CA/NYC, NY/Salt Lake City, UT/Miami, FL Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree Minimum 10 + years' experience of application support/configuration for Intapp related products in a large, global professional services firm. 2+ years' experience with Azure cloud Experience with SQL, including stored procedures, functions and triggers is required. Experience with Intapp Platform Products - Walls, Intake, Conflicts, Terms, Workspaces Responsibilities Provide Level 3 operational or systematic support and maintenance over Intapp product platform (Walls, Intake, Conflicts, Terms). Investigates operational or systematic problems and provides resolution using routine analytical skills and tools as necessary. Evaluate and implement third-party cloud solutions and/or features based on the business needs. Gather requirements, design, develop, test, and implement high-quality, user-friendly solutions. Solve or recommend solutions for complex issues and problems. Integrate on-prem and cloud data sources with SaaS and on-prem applications to create seamless and efficient solutions. Serve as the technical SME for Intapp product platform and any other applications in scope. Provide 24x7 operational support. On-call support responsibilities are rotated among the members of the Applications team.