Solaria Labs Data Science Co-op (July - Dec 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 technologies such as large language models, retrieval-augmented generation (RAG), agentic AI, and computer vision, applying these technologies to prototype solutions for insurance challenges.
• 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.

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.

Qualifications
Qualifications:

• Working towards a Bachelor's, Master's or PhD Degree in Data Science, Engineering, Computer Science, Mathematics, Statistics or other relevant field
• Fully authorized to work in the U.S. without restrictions
• 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 July - December 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.
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://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

USD $32.00 - $38.00