*This position is not eligible 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 talentacquisition@mapfre.com. Mapfre is proud to be an Equal Opportunity Employer.

MAPFRE

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