Data Science Manager

at  Plymouth Rock Assurance

Overview:
The Data Science Manager will manage a team of statisticians in research and development of new predictive models and new analytical techniques related to insurance pure premiums, customer lifetime value, customer buying behaviors and related topics using internal and external data.

QUALIFICATIONS AND EDUCATION

• Master’s degree in Statistics, Mathematics, Engineering or related field (willing to accept foreign education equivalent) and a minimum of seven (7) years’ experience supervising predictive/advanced analytics.
• Alternatively, will accept Ph.D. and five years’ experience in supervising predictive/advanced analytics.
• Demonstrated expertise in SAS, R, or Python etc.
• Demonstrated expertise in Bayesian statistics.
• Demonstrated experience in developing multivariate predictive models in an insurance/financial fields.

• Provide analytics for setting price, underwriting and products strategies. Implement analysis and modeling tests.
• Develop and enhance models used in a variety of contexts within the product management structure.
• Advance modeling capabilities.
• Work with colleagues in various departments to facilitate the application of models developed considering the regulatory and competitive contexts.
• Ensure models are understood, implications are appropriately assessed, implementation plans are defined, validation of results are undertaken and adjustments are made.
• Supervise, manage and develop assigned staff