Data Scientist III- Insurance & Advanced Analytics (Hybrid- Webster or Boston)

Mapfre; Webster (MA); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Paid Time Off (PTO)

401(k) & Profit Sharing

Medical, Dental and Vision Coverage

Wellness programs

Job summary

Mapfre is seeking an analytics leader to design, build, and scale ML-focused solutions for complex insurance problems. The role requires deep ML, Python, and SQL expertise, plus strong business acumen and domain knowledge.

The candidate will own problems end-to-end, dive into data systems, remove blockers, and communicate clearly with stakeholders. Familiarity with GenAI concepts and agentic AI is a plus.

Qualifications

• Bachelor's degree in statistics, mathematics, data science, economics, finance, engineering, or related field.
• 8+ years of relevant experience, or a Master's degree with 2+ years.
• Property & Casualty Insurance experience.
• Strong predictive modeling, machine learning, and statistical analysis.
• Experience owning models in production and MLOps.
• Excellent communication to senior stakeholders.

Responsibilities

• Lead development and deployment of predictive models and ML solutions.
• Identify data misalignments, root causes, and improve model performance.
• Apply Python and SQL to explore data, engineer features, build models, and automate workflows.
• Monitor model performance, reliability, and production stability.
• Present model results and business impact to leadership.
• Develop prompts and GenAI workflows; explore new AGI techniques.
• Mentor junior team members and promote best practices.

Skills

Predictive modeling

Machine learning

Python

SQL

Data structures

MLOps

Communication

Leadership

Education

Bachelor's degree in statistics/math/data science/engineering

Master's degree in related field

Job description

• This position is not eligable for sponsorship now or in the future.*

• 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 analytical solutions that solve complex, high-impact business problems. This role requires strong technical depth in machine learning, Python, and SQL, along with business acumen and insurance domain knowledge.

The successful candidate will take ownership of problems from discovery through implementation, develop a deep understanding of complex data systems, look beyond surface-level results, proactively identify and work through blockers, and communicate clearly with team members and stakeholders. Familiarity with Generative AI concepts, prompt engineering practices, and emerging agentic AI approaches is a big plus.

What You’ll Do

• Lead the development and deployment of advanced predictive models and machine learning solutions for complex business challenges
• Identify data misalignments, investigate root causes and develop targeted solutions to improve model performance. Proactively address blockers, evaluate alternatives, and work with the appropriate partners to move solutions forward
• Apply strong Python and SQL skills to explore data, engineer features, build models, automate workflows, and validate results
• 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
• Present model performance, business impact, and analytical solutions to senior leadership
• Develop, test, and refine prompts, and support the design of agent-based GenAI workflows
• Conduct research into innovative algorithms and GenAI approaches to unlock new opportunities and use cases
• 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
• 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
• Must have Property & Casualty Insurance experience
• A results-driven mindset with the persistence to dig deeply into problems, identify root causes, and work proactively toward solutions
• Deep expertise in predictive modeling, machine learning, and statistical analysis and technical details required to build reliable solutions
• 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 prompt optimization, evaluation and refinement
• 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 Transparency

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

$130,000 - $160,000

Benefits Highlights

At Mapfre, we invest in our employees' well-being by offering a comprehensive benefits package, including:

• Paid Time Off (PTO): A flexible PTO program that combines vacation, personal, volunteer and sick time into one convenient bank of paid time off.
• 401(k) & Profit Sharing: Eligible employees may participate in Mapfre's 401(k) plan that includes company matching contributions up to certain amounts under the terms of the plan.
• Medical, Dental and Vision Coverage: Choice of comprehensive medical, dental and vision insurance coverage under group plans offered by the company.
• Other Benefits Include: STD, LTD, Life Insurance, FSA, HSA and various wellness programs

Benefits provided are subject to the terms and conditions of the applicable benefit plan or policy. The Company reserves the right to alter, amend, or terminate benefits in its sole discretion. To learn more about our benefit offerings please visit: https://mapfre.gobenefits.net/

If you require a reasonable accommodation during the application or selection process, please contact the Mapfre Talent Acquisition team at [e-mail].

Mapfre is proud to be an Equal Opportunity Employer.