PRI Technology
Senior Data Scientist, Agentic AI
The firm's Data & AI team spearheads a culture of intelligence and automation across the enterprise, creating business value from advanced data and AI solutions. Their team includes data scientists, engineers, analysts, and product leaders working together to deliver AI-driven products that power growth, improve risk management, and elevate customer experience.
The firm created the Data Science Lab (DSL) to reimagine emerging technologies, evolving consumer needs, and rapid advances in AI. The DSL expedites transition to data-driven decision making and fosters innovation by rapidly testing, scaling, and operationalizing state-of-the-art AI.
We are seeking a Senior Data Scientist, Agentic AI who is an experienced individual contributor with deep expertise in AI/ML and a track record of turning advanced research into practical, impactful enterprise solutions. This role focuses on building, deploying, and scaling agentic AI systems, large language models, and intelligent automation solutions that reshape how the firm operates, serves customers, and drives growth.
Key Responsibilities
Design and deploy Agentic AI solutions to automate complex business workflows, enhance decision-making, and improve customer and employee experiences. Operationalize cutting-edge LLMs and generative AI to process and understand unstructured data such as contracts, claims, medical records, and customer interactions. Build autonomous agents and multi-step reasoning systems that integrate with the firm's core platforms to deliver measurable business impact. Partner with data engineers and AIOps teams to ensure AI models are production-ready, scalable, and robust, from prototype to enterprise deployment. Translate research in agentic AI, reinforcement learning, and reasoning into practical solutions that support underwriting, claims automation, customer servicing, and risk assessment. Collaborate with product owners, engineers, and business leaders to define use cases, design solutions, and measure ROI. Contribute to the Data Science Lab by establishing repeatable frameworks for developing, testing, and deploying agentic AI solutions. Mentor junior data scientists and contribute to the standardization of AI/ML practices, tools, and frameworks across the firm. You Are
Passionate about pushing the frontier of AI while applying it to solve real-world business problems. Excited by the potential of agentic AI, autonomous systems, and LLM-based solutions to transform industries. A hands-on builder who thrives on seeing AI solutions move from proof-of-concept to real-world deployment. Comfortable working in multi-disciplinary teams and engaging with senior business leaders to align AI solutions with enterprise goals. You Have
PhD with 2+ years of experience OR have a Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field 3+ years of hands-on AI modeling/development experience Strong theoretical foundations in probability & statistics Strong programming skills in Python including PyTorch, Tensorflow, LangGraph Solid background in machine learning algorithms, optimization, and statistical modeling Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities with superb attention to detail Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success
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Design and deploy Agentic AI solutions to automate complex business workflows, enhance decision-making, and improve customer and employee experiences. Operationalize cutting-edge LLMs and generative AI to process and understand unstructured data such as contracts, claims, medical records, and customer interactions. Build autonomous agents and multi-step reasoning systems that integrate with the firm's core platforms to deliver measurable business impact. Partner with data engineers and AIOps teams to ensure AI models are production-ready, scalable, and robust, from prototype to enterprise deployment. Translate research in agentic AI, reinforcement learning, and reasoning into practical solutions that support underwriting, claims automation, customer servicing, and risk assessment. Collaborate with product owners, engineers, and business leaders to define use cases, design solutions, and measure ROI. Contribute to the Data Science Lab by establishing repeatable frameworks for developing, testing, and deploying agentic AI solutions. Mentor junior data scientists and contribute to the standardization of AI/ML practices, tools, and frameworks across the firm. You Are
Passionate about pushing the frontier of AI while applying it to solve real-world business problems. Excited by the potential of agentic AI, autonomous systems, and LLM-based solutions to transform industries. A hands-on builder who thrives on seeing AI solutions move from proof-of-concept to real-world deployment. Comfortable working in multi-disciplinary teams and engaging with senior business leaders to align AI solutions with enterprise goals. You Have
PhD with 2+ years of experience OR have a Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field 3+ years of hands-on AI modeling/development experience Strong theoretical foundations in probability & statistics Strong programming skills in Python including PyTorch, Tensorflow, LangGraph Solid background in machine learning algorithms, optimization, and statistical modeling Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities with superb attention to detail Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success
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