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Salary
≈ $44k – $74k per year (Estimated)
Location
In office (Boston)
Seniority
Intern
Employment
Internship

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 12, 2026.

Overview
Company
Impact
Profile match
Liberty Mutual is an insurance group that writes personal lines such as auto and property insurance as well as specialty products. It hires data engineers, analytics directors, product analysts and legal and compliance data staff for its claims and product teams. The company is headquartered in Boston, Massachusetts, United States.

Description

Data Science Summer Internship Program It’s a data-driven world. Be part of a growing community of data science professionals that harness the power of data and cutting-edge technology to analyze performance trends, identify opportunities, and keep Liberty Mutual moving forward.

The details

Calling all aspiring data scientists! Here’s the perfect opportunity to grow your knowledge and skills in key areas such as GenAI, machine learning, and various modeling techniques and software, just to name a few.

In this 11-week Data Science Summer Internship Program, you’ll work both independently and as part of a team to research, gather, and analyze data, build or enhance robust models, and recommend solutions that impact business decisions - all while you augment your technical skillset and build business acumen.

This internship program may be your first step toward pursuing a rewarding career at Liberty Mutual, one of the leading property and casualty insurers in the United States and a global Fortune 100 company. Our interns often transition into full-time data scientists at our Boston Headquarters.

Note: We encourage interested candidates to apply promptly, as the role may be unposted once we’ve received a sufficient number of candidates. We conduct interviews and extend offers on a rolling basis.

Qualifications

What you’ve got

  • Currently pursuing a master’s degree in Statistics, Data Science, Analytics, Mathematics, Computer Science, or a related discipline
  • 0-2 years of professional experience
  • Intermediate experience with programming languages such as Python or R
  • Foundational knowledge of statistical analysis concepts, techniques, and tools
  • Demonstrated experience with exploratory data analysis, regression analysis, and model development and evaluation through coursework and/or internships
  • Strong communication, analytical, critical thinking, and interpersonal skills
  • Permanent work authorization in the United States
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