Data Science Intern

Plymouth Rock Assurance Corporation•Boston, MA

1d•Onsite

About The Position

The Data Science Intern/Co-op will support research and development of predictive models and analytical techniques related to insurance pure premiums, customer lifetime value, customer buying behaviors, and other topics using internal and external data. The work will inform pricing, underwriting, and product strategies across the Plymouth Rock Group of Companies. Analysis and models will be tested through broad implementation and pilots so approaches can be refined rapidly. The intern will analyze data to identify drivers of expected insurance losses and customer lifetime value, develop and enhance models within product management, and help transfer modeling advances to product management personnel. The role also works with the product community to support model application within regulatory and competitive contexts, including explaining models, assessing implications, defining implementation plans, validating results, and making timely adjustments.

Requirements

Be a graduate student in economics, statistics, or a related field; doctoral study is preferred.
Have practical experience in econometrics and statistics, preferably in a business context.
Have strong written and oral communication skills and be able to communicate technical concepts to technical and non-technical audiences.
Maintain high standards for work products.
Be a creative thinker able to synthesize information from varied sources and apply it to concrete business problems.
Demonstrate professional flexibility and resiliency.
Be proficient in a modeling programming language such as SQL, R, SAS, or Python.

Nice To Haves

Doctoral studies in economics, statistics, or a related field.
Background in Bayesian statistics.
Knowledge of and experience with the technical aspects of insurance.

Responsibilities

Analyze internal and external data to identify key drivers of expected insurance losses and customer lifetime value.
Learn relevant data sources, elicit hypotheses from internal personnel about key variables, and test those hypotheses using available data.
Help develop and enhance models used in product management.
Advance Plymouth Rock’s modeling capabilities and transfer modeling improvements to product management personnel.
Work with the product community to facilitate the application of developed models, taking regulatory and competitive contexts into account.
Ensure models are understood, implications are assessed, implementation plans are defined, results are validated, and adjustments are made rapidly.