*This position is not eligable for sponsorship now or in the future.* 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 <ul style="margin-top:0.0in;margin-bottom:0.0in" type="disc"> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Lead the development and deployment of advanced predictive models, machine learning solutions, and Generative AI use cases for complex business challenges</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Translate analytics into actionable insights that drive decision-making and align with company strategy</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Build and automate sophisticated reports, dashboards, and model outputs for business and executive stakeholders</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Present model performance, lift, and impact analyses to senior leadership</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Own the full lifecycle of models, including development, validation, deployment, monitoring, and continuous improvement</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Conduct research into innovative algorithms and GenAI approaches to unlock new opportunities and use cases</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Develop, test, and refine prompts, and support the design of agent-based GenAI workflows</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Work with complex datasets, including sparse, high-dimensional, and time-series data</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Measure economic impact and partner with business teams to define KPIs and ensure value realization</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Design processes and tools to monitor model performance, reliability, and stability in production</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Develop internal tools and programs to accelerate deployment, retraining, and scaling of models (MLOps), supporting both batch and real-time environments</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Collaborate cross-functionally and serve as the key liaison with IT to implement and scale solutions</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Lead end-to-end project execution, prioritizing high-impact initiatives and managing timelines</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Create executive-ready presentations and detailed technical documentation to communicate results and best practices</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Mentor and guide junior team members while promoting best-in-class modeling and statistical techniques</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Partner with data governance and business teams to improve data quality, feature engineering, and overall data strategy</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Identify and evaluate new data sources and emerging analytical techniques to maintain competitive advantage</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Advocate for a data-driven culture and continuous innovation across the organization</li> </ul> What You’ll Bring <ul style="margin-bottom:0.0in;margin-top:0.0px"> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:15.0pt;font-size:12.0pt;font-family:verdana, geneva, sans-serif">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</li> </ul> <ul style="margin-top:0.0in;margin-bottom:0.0in" type="disc"> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Deep expertise in predictive modeling, machine learning, and statistical analysis</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Strong experience working with complex data structures (sparse, high-dimensional, and time-series data)</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Solid insurance domain knowledge is required, with claims experience highly preferred</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Experience with Generative AI, including prompt engineering, testing/refinement, and agent-based solution design</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Proven ability to solve ambiguous, complex problems with minimal direction and high autonomy</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Strong communication skills, with the ability to translate complex analytics into clear business insights for senior stakeholders</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Experience owning and managing models in production environments, including monitoring and MLOps practices</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Demonstrated ability to innovate, research new techniques, and apply them to real-world business problems</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Experience mentoring team members and influencing best practices across teams</li> <li style="margin-top:0.0in;margin-right:0.0in;margin-bottom:8.0pt;line-height:115%;font-size:12.0pt;font-family:verdana, geneva, sans-serif">Strong organizational and project management skills, with the ability to prioritize high-value work</li> </ul> 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 <a href="mailto:[email protected]">[email protected].</a> We are proud to be an equal opportunity employer.

Data Scientist III - Insurance & Generative AI (Hybrid- Webster or Boston) (Webster, MA, US) @ MAPFRE

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