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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist III - Insurance & Generative AI (Hybrid- Webster or Boston) - **Company:** MAPFRE - **Location:** Webster, MA, United States - **Experience:** Experienced - **Salary:** $100,900.0 - $159,500.0 - **Contract:** Permanent contract - **Skills:** Big Data, Data Governance, Data Structures, Machine Learning, Feature Engineering, Prompt Engineering, Generative AI, Data Strategy, Machine Learning Operations - **Published:** June 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8f74992ba87e7672 ## About the Role Do you have experience in Team development?, Do you have a Master's degree?, * 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 ## Description 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 ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun) - [Big Business, Big Barriers? Stress-Testing AI Initiatives.](https://www.wearedevelopers.com/videos/1022-big-business-big-barriers-stress-testing-ai-initiatives) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Got AI ideas but no money? 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