Associate Data Scientist - Pricing, Homeowners Insurance
About The Position
The Plymouth Rock Home team is an Insurtech start-up within a well-established insurance company. We tripled our topline revenue over the past 5 years by revolutionizing the way homeowners insurance is marketed, bought, and sold, enabling customers to obtain a home insurance quote in just seconds. Our @home product marries cutting-edge data science and predictive modeling with a simplified sales process and a feature-rich package that our distributors want to sell and consumers want to buy to protect the things they value most. We are seeking a self-motivated and naturally curious individual with a PhD in Mathematics or Statistics to join our team. In this role you will partner with a Lead Data Scientist to create ground-breaking predictive models and design innovative variable features using advanced analytical techniques that drive a best-in-class agent and customer sales experience and support an innovative, profitable, and fast-growing homeowner’s insurance product. The role is not simply research: you will be part of a tactical team driving the profit and customer growth for the Home business.
Requirements
- PhD in Mathematics or Statistics required (2026 spring graduates welcome to apply).
- Broad thinker with the ability to synthesize information from various sources and apply that information to concrete business problems.
- Hands-on modeling experience and a deep understanding of predictive modeling, data mining and other quantitative and research analytics (Multivariate Analysis, Bayesian Methods, Generalized Linear Models, Generalized Additive Models, Decision Trees, Non- Parametric estimation, Machine learning techniques etc.).
- Strong programming ability in Python, SQL, and R, including experience building code and algorithms to tackle statistical problems.
Nice To Haves
- Preferred experience using cloud environments and tools, including AWS SageMaker and GIT.
- Preferred solid understanding of database principles and experience working with large databases.
Responsibilities
- 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.
Benefits
- Paid time off
- Free onsite gym at our Boston location
- Tuition reimbursement
- Low cost and excellent health insurance coverage options that start on Day 1 (medical, dental, vision)
- Robust health and wellness programs
- Auto and home insurance discounts
- Matching donation opportunities
- Annual 401(k) employer contribution
- Various Paid Family leave options including Paid Parental Leave
- Resources to promote professional development
- Convenient locations and pre-tax commuter benefits
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
Number of Employees
501-1,000 employees
