Data Scientist, Agentic AI

About the role

We are a forward-thinking insurance company on a transformation journey, committed to enhancing the wellbeing of our customers and their families. Our Data & AI team spearheads a culture of intelligence and automation across the enterprise, creating business value from advanced data and AI solutions. Our 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. We created the Data Science Lab (DSL) to reimagine insurance in light of emerging technology, evolving consumer needs, and rapid advances in AI—expediting our transition to data-driven decision making and fostering innovation by rapidly testing, scaling, and operationalizing state-of-the-art AI.

Key Responsibilities

• Agentic AI Solution Design : Design and implement Agentic AI solutions that automate business workflows, improve decision-making, and enhance customer and employee experiences across underwriting, claims, and customer servicing.
• Unstructured Data Processing : Apply LLMs and generative AI to process and interpret unstructured data such as contracts, underwriting notes, claims, medical records, and customer interactions to deliver measurable business outcomes.
• Autonomous Agent Development : Develop autonomous agents and reasoning systems that integrate seamlessly with existing platforms, working closely with data engineers and AIOps teams to ensure models are scalable, robust, and production-ready.
• Research Translation : Translate research in agentic AI and reinforcement learning into practical applications for underwriting, claims automation, customer servicing, and risk assessment.
• Cross-Functional Collaboration : Work closely with product owners, engineers, and business stakeholders to define use cases, design solutions, and measure impact while adhering to AI and LLM governance, documentation, testing, and best practices.

Requirements

• Education: PhD with 0–1 years of experience, Master's degree with 2+ years, or Bachelor's degree with 4+ years in Statistics, Computer Science, Engineering, Applied Mathematics, or related field
• Experience: 2+ years of hands-on experience in AI/ML modeling and development
• Skills: Solid understanding of probability, statistics, and machine learning fundamentals, Strong programming skills in Python and familiarity with frameworks like PyTorch, TensorFlow, and LangGraph, Experience with LLMs, generative AI, and multi-step reasoning systems, Working knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting, artificial neural networks, etc.) and their real-world advantages/drawbacks, Excellent problem-solving and analytical skills with attention to detail, Strong communication skills and ability to collaborate effectively with product and engineering teams, Working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging)
• Preferred Qualifications: Experience in the insurance industry, Background in insurance underwriting, Experience moving solutions from prototype to deployment in production environments, Familiarity with autonomous systems and LLM-based solutions, Experience building reusable components and frameworks for AI solutions

Benefits

Competitive Salary : $130,000 - $145,000
Health and Wellness: Comprehensive health insurance and wellness programs
Work-Life Balance : Hybrid work model (3 days in office, 2 days remote), generous PTO, and flexible work arrangements
Professional Development: Opportunities to work on cutting-edge agentic AI and autonomous systems, collaborate on high-visibility projects with senior executives, and access continuous learning resources
Additional Perks: Contribute to the Data Science Lab by building reusable AI frameworks, work on next-generation AI solutions that transform the insurance industry, and collaborate with a talented cross-functional team