Liberty Mutual Insurance | Data Science Co-op (July – December 2023) | Boston, MA | United States | BigDataKB.com | 2023-01-27

Help shape the future of Data Science across Liberty!

As a coop in Liberty Mutual’s Office of Data Science (ODS), Enablement & Collaboration unit, you will work with a team of data science (DS) and machine learning (ML) experts to solve some of Liberty’s most challenging problems.

The ODS was created to provide additional centralized support and expertise to DS teams across the global organization. Our projects focus on key areas of interest to multiple teams, bleeding edge research and experimentation, common tool development, and establishing best practices to ensure the scientific community at Liberty is well-positioned to rapidly meet the challenges of modern industry.

If you are interested in making an impact on an entire culture at a Fortune 100 company, the ODS is the place for you!

Why you may enjoy working in the Office of Data Science:

As a centralized group, our project scope is vast. Possibilities include:

• Design new language models (NLP/NLU) to understand and build predictions or summaries from customer calls, claim notes, web chats, medical records, and beyond.
• Detect property hazards from aerial imagery, customer photos, geospatial data, etc. using computer vision (CV).
• Explore the advantages and limitations of privacy-preserving ML, to accelerate experimentation and better protect our customers’ data.
• Push the boundaries in fundamental experimentation to boost and augment small-sample or rare-event data, transfer learning, and similar techniques.
• Engage in theoretical research in collaboration with a top-tier academic institution (link) to shape the future of AI

You’re good at and offer:

• Working knowledge of data science and machine learning techniques
• Ability to exchange ideas and convey complex information clearly and concisely
• Fluent in Python and other relevant programming languages

Qualifications

Qualifications:

• Working towards a Bachelor’s Degree in Data Science, Computer Science, Computer Engineering, Cyber Security, Computer Information Systems, Informatics, Management Information Systems, Information Technology, Mathematics or other related technical programs
• Strong technical, analytical, communication, & organizational skills
• Experience with information systems, software applications and analyzing quantitative information
• Minimum 3.0 cumulative GPA preferred