Data Science Intern/Co-op

Summary

Plymouth Rock Assurance is a company that specializes in personal and commercial auto and homeowner’s insurance. The Data Science Intern/Co-op will be responsible for research and development of predictive models and analytical techniques to support pricing, underwriting, and product strategies.

Responsibilities

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

Skills

• 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 aspect of insurance is a plus
• Proficiency with modeling programming language (SQL, R, SAS, Python)

Qualifications

Must Haves

• 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 aspect of insurance is a plus
• Proficiency with modeling programming language (SQL, R, SAS, Python)

Benefits

• 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!