Role overview
The Plymouth Rock Company and its affiliated group of companies write and manage over $2.2 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 2,000 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an AM Best rating of “A-/Excellent.”
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What you'll work on
- Assist in designing, building, and launching end-to-end predictive modeling processes utilizing advanced statistical techniques to support pricing initiatives.
- Leverage AWS SageMaker to operationalize models to automate, monitor model performance and drift, and enable rapid model retraining and refresh.
- Proactively collaborate with stakeholders and partners to address emerging issues in a timely and constructive manner. Communicate findings to diverse audiences, including technical and non-technical.
- Monitor model performance, perform root-cause analysis, and iterate on solutions to enhance business outcomes.
- Produce meaningful observations and recommendations through synthesizing data from internal and external sources
- Incorporate Artificial Intelligence into your daily work to drive innovation, insights, and speed-to-market.
Tags & focus areas
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