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Associate Data Scientist - Pricing, Homeowners Insurance

Plymouth Rock Assurance
Posted 2 months ago, valid for 15 days
Location

Boston, MA 02212, US

Salary

$91,000 - $115,000 per year

Contract type

Full Time

Health Insurance
Paid Time Off
Tuition Reimbursement
Wellness Program

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Sonic Summary

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  • The Plymouth Rock Home team is an Insurtech start-up seeking a self-motivated individual with a PhD in Mathematics or Statistics to join their team.
  • In this role, the candidate will work with a Lead Data Scientist to create predictive models and design innovative features for a homeowner's insurance product.
  • Candidates should have hands-on modeling experience, strong programming skills in Python, SQL, and R, and ideally experience with AWS SageMaker.
  • The salary range for this position is between $91,000 and $115,000 annually, depending on experience and other factors.
  • The company offers various benefits, including paid time off, health insurance, and professional development resources.

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. 

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.

Qualifications

  • 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.
  • Preferred experience using cloud environments and tools, including AWS SageMaker and GIT.
  • Preferred solid understanding of database principles and experience working with large databases.
  • Excellent written and oral communication skills.

Salary Range:​

The pay range for this position is $91,000 to $115,000 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity.​

​

Benefits & Perks:​

  • 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

About the Company

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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