Data Science Intern

This temporary position will start in January 2026 and will end according to your availability, likely in the summer months.

This position will be critical in advancing our mission to drive profit-focused technical excellence and innovation within the Plymouth Rock Group of Companies. The position will be responsible for research and development of new predictive models and new analytical techniques around insurance pure premiums, customer lifetime value, customer buying behaviors and other related topics utilizing internal and external data. This work will be used in setting pricing, underwriting and product strategies for the Plymouth Rock group of Companies. The analysis and modeling will be tested via implementation both broadly and on a pilot basis to allow us to learn and refine our approaches in rapid succession.

Essential Functions and Responsibilities:

Data Analysis:

The Data Science Intern will work with internal and external data to understand key drivers of expected insurance losses and lifetime customer value. This will require that the Intern acquires an understanding of various internal and external data sources, is able to illicit hypothesis from internal personnel regarding key variables and test those hypotheses using available data.

Modeling:

The Data Science Intern will help develop and enhance models used in a variety of contexts within the product management structure of Plymouth Rock. The Intern will be responsible for advancing the modeling capabilities within Plymouth Rock and transferring those advancements to other product management personnel.

Implementation:

The Data Science Intern will work with the product community to facilitate the application of models developed considering the regulatory and competitive contexts within which we operate. This will include ensuring that models are well understood, the implications are appropriately assessed, implementation plans are defined, validation of results are undertaken, and adjustments are made rapidly.

Qualifications:

• Graduate Student from a program (doctoral preferred) in the areas of economics, statistics, or a related field (background in Bayesian statistics preferred).
• Practical experience in Econometrics and Statistics, preferably in a business context.
• Strong written and oral communication skills and an ability to communicate technical concepts to both technical and non-technical audiences.
• High standards for the work products delivered.
• Creative thinker with the ability to synthesize information from various sources and apply that information to concrete business problems.
• Flexibility and resiliency characteristic of a professional.
• Knowledge of, and experience with, the technical aspects of insurance is a plus.
• Proficiency with modeling programming language (SQL, R, SAS, Python).

Pay Rate: The pay range for this position is $25-$28 per hour. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.

Why work for us:

• Friendly and collaborate work culture
• Free On-site gym access
• Free Coffee and Snacks
• Company social events
• Lunch and Learn Leadership program
• Business Casual (Can wear jeans and sneakers!)
• Convenient Location – across from South Station!

About the Company:

The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner's insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”.