Senior Data Scientist - Advanced Analytics Team (Boston or Webster, MA)

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

Mapfre is seeking a Senior Data Scientist to join our Advanced Analytics Team, driving enterprise-wide AI strategy and execution. This is a high-impact role that combines technical expertise, business acumen, and leadership to deliver transformative, data-driven solutions across product development, market pricing, actuarial, operations, claims, and more.

As a senior member of a high-performing team, you will:

• Lead cross-functional collaboration and champion a culture of innovation, responsible AI, and continuous learning.
• Act as an individual contributor with ownership of end-to-end ML solution design, development, deployment, and maintenance.
• Mentor team members and advocate for MLOps and responsible AI best practices.

What You’ll Do

• Design and deliver advanced analytics and ML solutions aligned with business KPIs.
• Translate complex business challenges into scalable AI solutions in partnership with stakeholders.
• Own the full lifecycle of analytics initiatives—from concept to production.
• Apply and promote MLOps, coding standards, and responsible AI principles.
• Mentor junior and mid-level data scientists to elevate team capability.
• Communicate insights effectively to both technical and business audiences.
• Stay ahead of emerging AI and analytics trends, driving innovation.
• Support experimentation and proof-of-concept development for cutting-edge solutions.

What We’re Looking For

• Education & Experience:  

• • Bachelor’s degree with 10+ years or Master’s degree with 3+ years of relevant experience, preferably in financial services or insurance.   

• Technical Expertise:  

• • Advanced Python and SQL skills.
  • Strong foundation in ML, statistics, and MLOps.
  • Proven experience deploying and maintaining models at scale.
  • Familiarity with scikit-learn, XGBoost, PyTorch, SageMaker, Airflow, Jenkins, Bitbucket, GitHub.    

• Preferred Background: 

• • Industry experience in insurance, financial services, or regulated environments.
  • Exposure to cloud-native architectures and Infrastructure-as-Code concepts.   

• Additional Skills:  

• • Excellent problem-solving, communication, and collaboration abilities.
  • Experience supporting GenAI or NLP solutions in enterprise settings.

• Be part of a strategic AI initiative shaping the future of insurance.
• Work in a collaborative, innovative environment with opportunities for career growth and leadership.
• Drive real-world impact through advanced analytics and AI solutions.

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 $130,000 - $180,000

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 talentacquisition@mapfreusa.com.

We are proud to be an equal opportunity employer.