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 View email address on click.appcast.io. We are proud to be an equal opportunity employer.