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

Description

The Details

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, 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.

Qualifications

Who You’ll Bring

• 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.