Solaria Labs Data Science Co-op (July - December 2025)

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.
Description
Why you may enjoy working at Solaria Labs:
The Data Science co-op will support data science efforts in Solaria Labs in a diverse set of challenges broadly related to public health, safety, and trust. Many of the concepts we develop require novel use of Liberty Mutual and partner data, and the application of current and emerging machine learning techniques to build previously inconceivable product offerings. You will interact with other data scientists and engineering teams to implement your solutions within internal and customer facing software products.

• You want to be part of a collaborative innovation lab: experience both heads down coding time as well as active participation in ideation and product design.
• You like exploring emerging Machine learning technologies including natural language processing/understanding and computer vision, and emerging trends like insuretech/fintech and the sharing economy.
• You are passionate about building and iterating on software prototypes, thrive in an R&D environment, and have a start-up mentality.
• You enjoy building custom algorithms, digging into data for insights, building engaging interfaces and always looking to sharpen your skills with emerging technology or participating in hackathons and meetups.

Qualifications
You're good at and offer:

• Working knowledge of data science and machine learning technologies
• Aware and excited about new and upcoming machine learning algorithms
• Ability to exchange ideas and convey complex information clearly and concisely
• Fluency in Python

Location: Solaria Labs, Boston, MA
Qualifications:

• Working towards a Bachelor's, Master's or PhD Degree in Data Science, Engineering, Computer Science, Mathematics or other technical field
• Strong technical, analytical, communication and organizational skills
• You have a proven track record of academic success

About Us
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 proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage.
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 $30.00 - $36.00