Data Scientist - Boston, MA

• Lead the development and deployment of predictive models and machine learning solutions
• Analyze complex datasets to uncover actionable business insights
• Build data pipelines, engineer features, and automate analytical workflows using Python and SQL
• Investigate data quality issues, identify root causes, and implement corrective solutions
• Define success metrics and measure the business impact of analytical initiatives
• Design and implement model monitoring frameworks to ensure reliability and performance
• Develop internal tools that support model deployment, retraining, and scalability
• Collaborate with technology teams to operationalize analytics solutions
• Present findings, recommendations, and performance results to leadership teams
• Research and evaluate new modeling approaches, AI technologies, and data sources
• Support the development of Generative AI and agent-based workflows
• Create technical documentation and executive-level presentations
• Mentor junior analysts and data scientists
• Partner with business and data governance teams to enhance data quality and analytics capabilities
• Champion a culture of innovation and data-driven decision making

In this role, you will lead the design, development, deployment, and optimization of advanced analytical solutions. You will work closely with business stakeholders, technology teams, and leadership to deliver measurable business value while helping shape the organization’s analytical capabilities. The ideal candidate combines deep technical expertise with strong insurance industry knowledge and a passion for innovation. This position is suited for an experienced data professional who thrives in ambiguity, enjoys solving challenging problems, and can communicate complex analytical concepts to both technical and non-technical audiences. Required Skills & Experience

• Bachelor’s degree in Statistics, Mathematics, Data Science, Economics, Finance, Engineering, or another quantitative discipline
• 8+ years of relevant experience, or a Master’s degree with 2+ years of relevant experience
• Property & Casualty Insurance experience
• Strong expertise in predictive modeling, machine learning, and statistical analysis
• Advanced proficiency with Python and SQL
• Experience working with complex datasets, including high-dimensional, sparse, and time-series data
• Experience deploying, monitoring, and managing models in production environments
• Strong communication skills with the ability to present findings to senior stakeholders
• Proven ability to solve complex business problems independently
• Experience mentoring team members and promoting analytical best practices
• Strong project management and organizational skills

Desired Skills & Experience

• Claims domain expertise within the insurance industry
• Experience with Generative AI concepts and prompt engineering
• Experience developing and optimizing AI prompts and workflows
• Familiarity with agent-based AI solutions
• MLOps experience supporting batch and real-time model deployment
• Experience researching and applying emerging analytical techniques
• Exposure to data governance and enterprise data strategy initiatives

• Competitive salary range of $130,000 - $160,000
• Potential eligibility for bonus opportunities
• Hybrid work environment
• Long-term career growth within a data-driven organization
• Access to professional development and learning opportunities

You will receive the following benefits

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k) with company match
• Profit Sharing
• Life Insurance
• Short-Term Disability (STD)
• Long-Term Disability (LTD)
• Flexible Spending Account (FSA)
• Health Savings Account (HSA)
• Employee wellness programs