Start your Data Science career at Liberty Mutual
Data science is at the center of how we make decisions, serve customers and stay ahead of risk. Work alongside experienced data scientists using GenAI, machine learning and predictive modeling techniques to tackle real business challenges that have a direct impact.
As an intern, you’ll be immersed in a collaborative environment, working with teams from diverse backgrounds to solve some of Liberty Mutual’s toughest challenges, and you’ll grow skills that will fuel your tomorrow, today.
Data Science opportunities
Data Science Internship Program
In this summer program experience, you’ll learn, grow, and make an impact alongside a cohort of fellow graduate interns. You’ll apply your statistical and technical expertise to real-world business challenges, develop and optimize models, and present your meaningful accomplishments and insights to leadership.
What you'll gain
- Structured professional development programming
- One-on-one mentorship with a dedicated full-time Data Scientist to support your growth
- Access to Liberty’s Data Science Professional Resource Group (DSPRG) supporting networking and career advancement opportunities
- Sharpen and expand your in-demand statistical, analytical, and technical skills
Qualifications
- Master’s student with 0-2 years professional experience in relevant fields
- Currently pursuing a Master’s in Data Science, Statistics, Analytics, Mathematics, Computer Science or related disciplines
- Strong communication, analytical, critical thinking and interpersonal skills
- Intermediate experience with programming languages such as Python or R
- Demonstrated experience with exploratory data analysis, regression analysis, and model development and evaluation through coursework and/or internships
Program details
- Full-time, 11-week summer internship
- Hybrid work environment (2 days/week) based in Boston
- Relocation support available for candidates living 50+ miles from the office
Data science career progression
Data Science Internship program:
Full-time, 11-week summer internship
Full-time role:
Launch your career at Liberty Mutual
Long-term career growth:
Make a lasting impact at a Fortune 100 company
Data Science in action
A closer look at the kind of work and skill sets you could take on as a Data Science intern:
Machine learning and modeling
Build, validate and optimize models using techniques like machine learning and deep learning to understand risk, predict outcomes and make smarter business decisions.
Cross-functional impact
Apply cutting-edge statistical techniques to solve problems across the business.
Research and pricing strategy
Analyze data, conduct research and develop insights that support informed pricing strategies and business decisions.
GenAI engineering
Help design, develop and evaluate AI-powered solutions that use generative AI to enhance customer and employee experiences.
Project snapshot:
Claims fraud detection
The situation:
Liberty’s Central Fraud Hub needed a better performance risk model to evaluate the risk of property claims fraud.
The solution:
A data science intern built a brand new property risk model leveraging statistical and machine learning expertise that identified stronger internal metrics and increased hit rate.
The impact:
An enhanced approach to identify fraudulent claims and potentially generate significant business savings.
Project snapshot:
Identifying tree hazard and property risk
The situation:
Liberty needed a scalable way to detect overhanging trees in customer property photos, a key indicator of property risk.
The solution:
A data science intern built an app using neural networking to predict the probability of overhanging trees in property images, combining external photos with detailed roof and structural images using feature extraction and classification modeling.
The impact:
A machine learning tool that helps Liberty better assess and price property risk at scale.
Project snapshot:
Talent analytics
The situation:
Liberty needed a smarter way to generate internal job recommendations for employees.
The solution:
A data science intern improved a classical collaborative filtering recommendation framework through machine learning, then compared employee movement patterns against the recommender system to evaluate model performance.
The impact:
A more sophisticated, data-driven approach to internal talent mobility.
Rozhin D.
Isaac W.
Awards & Recognition























