Research Scientist

Plymouth Rock, founded in 1982 by Jim Stone, former Massachusetts Insurance Commissioner, is a privately held insurance company that writes personal and commercial lines of business in the Northeastern United States. Today, Plymouth Rock, with more than $1billion in premiums underwritten and serviced, is comprised of a group of companies that were started or acquired to expand product offerings, channels of distribution, and the geographic footprint. With more than 800,000 policyholders, Plymouth Rock writes insurance through more than 800 independent agents.

The Plymouth Rock Group employs 1500 people and is headquartered in Boston, Massachusetts. Plymouth Rock holds an A.M. Best rating of "A-/Excellent."

Our Underwriting department is seeking an experienced Research Scientist to develop and estimate new models for the assessment of insurance risk, the setting of insurance rates, and other statistical topics related to insurance. Qualified and interested candidates can also work on product development, financial analysis, and strategic planning.

Ideal Qualities:

* 5-8 years in Personal Auto Industry

* Experience delivering predictive models

* Advanced Degree in economics, statistics, or related field; PhD is a plus

* Excellent communication and organization skills

* Self-starter and strong individual contributor with ability to provide intellectual guidance and mentoring to less experienced analysts.

* High level of intellectual curiosity and creative problem solving skills in thinking about new approaches to data analysis.

* Programming ability

* Experience assembling and validating large bodies of data

Key responsibilities

* Produce predictive models which enable the creation of rating plans

* Improve and develop our retention model

* Communicate to diverse audiences including technical and non-technical, senior management and junior staff

* Meet other predictive modeling needs of the organization

* Train, coach and develop junior predictive modeling staff

The Plymouth Rock companies place a heavy emphasis upon quality of life and "goodness of fit". We seek people who have a customer service orientation (i.e., who makes efforts to listen to and to understand both internal and external customers, anticipate customer needs, and give high priority to customer satisfaction), pay attention to the feelings and needs of others, and manifest a strong bias for action. We insist on the utmost integrity and probity. We offer highly competitive base salaries with an annual performance-based bonus, a very generous package of benefits, convenient access to public transportation and a thriving and stable workplace.
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