Data Scientist III - Insurance & Generative AI (Hybrid- Webster or Boston)

Summary

We are seeking an analytics leader to design, build, and scale advanced analytical solutions for complex business problems. This role requires deep technical expertise in predictive modeling and machine learning, combined with strong business acumen and insurance domain knowledge.

What You’ll Do

• Lead the development and deployment of advanced predictive models, machine learning solutions, and Generative AI use cases for complex business challenges
• Translate analytics into actionable insights that drive decision-making and align with company strategy
• Build and automate sophisticated reports, dashboards, and model outputs for business and executive stakeholders
• Present model performance, lift, and impact analyses to senior leadership
• Own the full lifecycle of models, including development, validation, deployment, monitoring, and continuous improvement
• Conduct research into innovative algorithms and GenAI approaches to unlock new opportunities and use cases
• Develop, test, and refine prompts, and support the design of agent-based GenAI workflows
• Work with complex datasets, including sparse, high-dimensional, and time-series data
• Measure economic impact and partner with business teams to define KPIs and ensure value realization
• Design processes and tools to monitor model performance, reliability, and stability in production
• Develop internal tools and programs to accelerate deployment, retraining, and scaling of models (MLOps), supporting both batch and real-time environments
• Collaborate cross-functionally and serve as the key liaison with IT to implement and scale solutions
• Create executive-ready presentations and detailed technical documentation to communicate results and best practices
• Mentor and guide junior team members while promoting best-in-class modeling and statistical techniques
• Partner with data governance and business teams to improve data quality, feature engineering, and overall data strategy
• Identify and evaluate new data sources and emerging analytical techniques to maintain competitive advantage
• Advocate for a data-driven culture and continuous innovation across the organization

What You’ll Bring

• Bachelor’s degree in Statistics, Mathematics, Data Science, Economics, Finance, Engineering, or a related quantitative field (required), with either 8+ years of relevant experience, or a Master’s degree with 2+ years of relevant experience
• Deep expertise in predictive modeling, machine learning, and statistical analysis
• Solid insurance domain knowledge is required, with claims experience highly preferred
• Experience with Generative AI, including prompt engineering, testing/refinement, and agent-based solution design
• Proven ability to solve ambiguous, complex problems with minimal direction and high autonomy
• Strong communication skills, with the ability to translate complex analytics into clear business insights for senior stakeholders
• Experience owning and managing models in production environments, including monitoring and MLOps practices
• Demonstrated ability to innovate, research new techniques, and apply them to real-world business problems