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

Summary

We are looking for a forward-thinking analytics leader to design, build, and scale advanced analytical solutions that solve complex, high-impact business problems. This role combines deep technical expertise in predictive modeling and machine learning with strong business acumen and insurance domain knowledge.

You will play a critical role in shaping strategy by delivering actionable insights, presenting to senior leadership, and owning the long-term success of models and analytics products. You’ll also help drive innovation through the application of cutting-edge techniques, including Generative AI, while mentoring others and advancing best practices across the organization.

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
• Lead end-to-end project execution, prioritizing high-impact initiatives and managing timelines
• 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
• Strong experience working with complex data structures (sparse, high-dimensional, and time-series data)
• 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
• Experience mentoring team members and influencing best practices across teams
• Strong organizational and project management skills, with the ability to prioritize high-value work

Why Mapfre?

As a global insurance leader with a strong local presence, we offer more than a job — we provide a purpose-driven career where your growth, well-being, and impact truly matter.

• Purpose & Culture: Join a company built on trust, collaboration, and inclusion. Our values guide everything we do, creating a workplace where people feel respected and empowered.
• Comprehensive Benefits: Enjoy competitive health coverage, retirement plans, paid time off, flexible work options, and lifestyle perks like employee discounts.
• Career Growth: Advance your skills through tuition reimbursement, leadership programs, and internal mobility opportunities. Your development is our priority.
• Social Responsibility: Contribute to meaningful initiatives through Fundación Mapfre, supporting communities and sustainability worldwide.

Pay Philosophy: The typical starting salary range for this role is determined by several factors including skills, experience, education, certifications, and location. Some roles at Mapfre are eligible for commission and/or bonus earnings, in addition to salary, calculated based upon factors set forth in the compensation plan for the role.

Salary Range $100,900 - $159,500

If you require an accommodation for a disability so that you may participate in the selection process, you are encouraged to contact the Mapfre Insurance Talent Acquisition team at talentacquisition@mapfreusa.com.

We are proud to be an equal opportunity employer.