Solaria Labs Data Science Co-op (Jan - July 2026)

Description
Join Solaria Labs as a Data Science Co-op and become an integral part of our innovation-driven team tackling diverse and complex challenges in the insurance domain. We leverage both Liberty Mutual and partner data, applying the latest AI and Machine Learning techniques to create solutions that redefine what's possible. As a co-op, you'll collaborate with data scientists and engineering teams to explore and experiment with new concepts and approaches that could shape the future of insurance.

What You'll Do:

• Collaborate within an innovative lab environment-balancing focused coding sessions with active participation in ideation and product design.
• Explore and experiment with emerging AI and Machine Learning technologies, including generative AI, NLP/NLU, computer vision, and trends in insuretech, fintech, and the sharing economy.
• Develop and iterate on prototypes using Python, thriving in a fast-paced R&D setting with a start-up mentality.
• Build custom algorithms, uncover data-driven insights, and share findings with the team and stakeholders.
• Continuously sharpen your skills by embracing new technologies and participating in hackathons, meetups, and other learning opportunities.

Qualifications
Who You Are:

• Passionate about technology, innovation, and collaborative problem-solving.
• Curious and proactive in exploring new trends and tools in AI/ML.
• Excited to work in an environment where your ideas and contributions may shape real products.
• Eager to make an impact through hands-on prototyping, algorithm development, and data analysis.

Location: Solaria Labs, Boston, MA

Qualifications:

• Working towards a Bachelor's, Master's or PhD Degree in Data Science, Engineering, Computer Science, Mathematics, Statistics or other relevant field
• Strong technical, analytical, communication and organizational skills
• A strong academic record with a cumulative 3.0 GPA preferred
• Must be able to work full-time from January - June 2026

About Us
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.

As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits, and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally.

At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow.

We are dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers.

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://LMI.co/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

Client-provided location(s): Boston, MA

Job ID: liberty_mutual-2025-71949-en_1

Employment Type: INTERN

Posted: 2025-09-03T20:03:41