Associate Data Scientist- Pricing, Homeowners

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 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

• Partner with a Lead Data Scientist to learn the end-to-end predictive modeling process, including defining a clear business problem, data acquisition and understanding, modeling, deployment, and monitoring.
• Build modeling and data pipelines in AWS that automate actionable insights, measure model drift, and allow for rapid model 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.
• Incorporate Artificial Intelligence into your daily work to drive innovation, insights, and speed-to-market.

Requirements and Qualifications

• PhD in Statistics or a similar quantitative area such as STEM (Science, Technology, Engineering and Mathematics) strongly preferred.
• 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, Non-Linear 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.
• Experience using cloud environments and tools, including AWS SageMaker and GIT.
• Solid understanding of database principles and experience working with large databases.
• Excellent written and oral communication skills.

This is a ranged posting, the analyst level will be determined based on your background and experience.

 About the Company

The Plymouth Rock Company and its affiliated group of companies write and manage over $2.3 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 1,800 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”.

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