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
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
- California
- Los Angeles Incorporated
- Los Angeles Unincorporated
- Philadelphia
- San Francisco
$47.00 - 60.00
Skills Required
- 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 Python or R
- Foundational knowledge of statistical analysis concepts, techniques, and tools
- Experience with exploratory data analysis, regression analysis, and model development and evaluation through coursework or internships
- Strong communication, analytical, critical thinking, and interpersonal skills
- Permanent work authorization in the United States
Liberty Mutual Insurance Compensation & Benefits Highlights
-
Retirement Support — The benefits include a strong 401(k) match with additional annual contributions, and some roles reference a pension, indicating robust long-term savings support.
-
Leave & Time Off Breadth — The package features flexible time off, paid holidays, and multiple paid and unpaid leaves, with PTO that can increase with tenure.
-
Healthcare Strength — Coverage spans medical, dental, and vision alongside disability, life insurance, HSA/FSA options, EAP resources, and mental-health support, reflecting comprehensive healthcare breadth.
Liberty Mutual Insurance Insights
What We Do
Liberty Mutual Insurance exists to help people embrace today and confidently pursue tomorrow. A Fortune 100 company and global leader in property and casualty insurance, we’ve spent over a century creating innovative products, services and technologies to meet the world’s ever-changing needs and make a difference for our customers and communities.
Why Work With Us
We offer the agility, work flexibility, project ownership and access to emerging tech you’d expect from a start-up — combined with the stability, resources and benefits that come from working at a leading Fortune 100 company. All in a welcoming, inclusive environment that values the unique insights, perspectives and backgrounds of each person.
Gallery
Liberty Mutual Insurance Teams
Liberty Mutual Insurance Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.























