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Liberty Mutual Insurance

Solaria Labs Data Science Co-op (January - June 2027)

Boston, MA,US, US

Liberty Mutual Insurance is hiring a Solaria Labs Data Science Co-op (January - June 2027) in Boston, MA,US, US. Posted September 11, 2026.

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Job at a glance

Company
Liberty Mutual Insurance
Location
Boston, MA,US, US
Workplace
On-site
Employment
Full-time
Sector
Engineering & Technology
Posted
September 11, 2026
Apply by
March 10, 2027

About the job

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, natural language processing (NLP), retrieval-augmented generation (RAG), agentic AI, information retrieval, 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. You must be able to work full-time from January - June 2027. Working towards a Bachelor's, Master's or PhD Degree in Data Science, Artificial Intelligence (AI), Engineering, Computer Science, Mathematics, Statistics or another related technical field, with a strong academic record with a cumulative 3.0 GPA preferred. Relevant Internship or industry experience is strongly preferred. Fully authorized to work in the U.S. without restrictions. Strong technical, analytical, communication and organizational skills. 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.