State Management Analytics Intern

Mapfre Insurance is seeking highly motivated, intellectually curious college students to join our State Management Analytics Summer Internship Program for a 10-week internship from June 7th - August 13th in Webster, Massachusetts. At Mapfre Insurance, we're committed to helping the next generation of talent launch meaningful careers. Our internship program provides highly motivated college students with the opportunity to gain hands‑on experience, contribute to real business initiatives, and work alongside experienced professionals in a collaborative, fast‑paced, and supportive environment.

As a Mapfre intern, you'll work on impactful projects that directly support business objectives while gaining valuable insight into the insurance industry. You'll develop professional skills, learn about departmental and corporate operations, build your network through interactions with leaders and fellow interns, and participate in program‑wide learning experiences. Interns also come together to give back through a team‑based Day of Caring community service project.

The State Management Analytics Team plays a critical role in helping Mapfre make data‑driven business decisions. The team analyzes premium, agency, and claims data to uncover trends, generate actionable insights, and identify opportunities to drive growth and profitability within Massachusetts' largest personal automobile insurance company.

As a State Management Analytics Intern, you will have the opportunity to work with real business data and contribute insights that help shape strategic decisions. You will analyze Mapfre's data to identify business improvement opportunities and develop recommendations that will be presented to senior leadership. This position offers a unique opportunity to make a meaningful impact while gaining firsthand exposure to analytics, business strategy, and the insurance industry.

Sample projects may include:

• Identifying unprofitable driver segments and recommending strategies to improve profitability
• Analyzing insurance agent sales behaviors to identify underserved customer needs and growth opportunities
• Researching claims cost trends to uncover operational and profitability opportunities
• Using data analytics to support strategic business decisions and performance improvement initiatives

Graduate Student (Final Year) Preferred

Exceptional undergraduate students will also be considered.

• Data Science
• Computer Science
• Economics
• Business
• Econometrics
• Statistics
• Actuarial Science

• Proficiency with Microsoft Office applications
• Strong database skills
• Excellent written and verbal communication skills
• Strong analytical and problem‑solving abilities
• SQL experience strongly preferred
• Experience with one or more programming languages preferred, including:
  Python, R, Java Or similar programming languages

At Mapfre, interns don't just observe—they contribute. You'll gain hands‑on experience, work alongside experienced actuarial professionals, and develop skills that can help shape your future career path. Mapfre is a leading global insurance company with operations in 38 countries. As the largest auto and home insurer in Massachusetts, we combine international strength with deep local expertise. Our culture is built on collaboration, integrity, innovation, and continuous learning, creating an environment where emerging talent can grow, contribute, and thrive.

Whether you're preparing for future actuarial exams, exploring different actuarial disciplines, or looking to build meaningful industry experience, Mapfre offers an internship experience designed to help you take the next step in your professional journey.

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. Pay Range: $29.00 - $31.00/hr