Plymouth Rock Assurance is on a mission to apply advanced data science to deliver breakthrough insights that propel us to the forefront of personal lines insurance. The Enterprise Data Science team sits at the center of the company partnering with business leaders to deliver solutions that create durable competitive advantage.
We are seeking a highly motivated and technically skilled lead data scientist to join our collaborative fast-paced entrepreneurial team. We are a high-visibility team focused on transformative analytics that drive profitable growth and improve operational performance across the entire enterprise including Product Pricing Underwriting Claims Customer Service and Marketing. This is not a support" analytics role. You will work on high-impact problems build production-grade solutions and use modern machine learning and AI to accelerate discovery improve decision-making and reshape how we compete.
Responsibilities
Depending on level Data Scientist Senior or Lead you will own projects end-to-end from problem framing through deployment or lead critical workstreams with broad autonomy.
Identify and frame high-value problems across functional areas translate business questions into analytical strategies experiments and measurable outcomes.
Develop test and deploy predictive models that drive profitable growth and improve operational performance across the enterprise.
Apply modern ML and AI techniques to accelerate development cycles improve model performance and deliver new capabilities.
Build production-ready solutions robust data pipelines feature engineering measurement discipline KPIs guardrails and experiment design model monitoring and clear reproducible documentation aligned to best practices.
Communicate with impact tell the story with data present recommendations to technical and non-technical stakeholders and influence decisions at senior levels.
Advance team excellence evaluate new methods and tools share reusable components elevate engineering standards and at SeniorLead mentor others and help shape technical direction.
Qualifications
PhD in a quantitative field PhD strongly preferred.
Strong foundation in statistics and applied modeling-you can connect theory to practical business-relevant solutions.
Strong hands-on experience with modern modeling tools and methods including Python strongly preferred and/or R for statistical modeling SQL for large-scale data transformation and analysis.
GLMs and tree-based methods GBMs e.g. H2O XGBoost LightGBM familiarity with clustering Bayesian methods regularization and optimization is a plus.
Experience with AI e.g. NLPLLMs deep learning computer vision applied to feature generation model development and business process improvement is helpful but not required.
Ability to deliver results in real-world settings structured problem-solving experimental mindset and pragmatic decision-making.
Senior candidates must have a proven track record of end-to-end model ownership including shipping models into production and improving them through monitoring measurement and iteration.
Strong communication skills-able to present and explain methods assumptions tradeoffs and results clearly.
Experience working with cloud and modern data platforms especially AWS S3 EC2 SageMaker and Snowflake.
Strong grasp of relational databases and experience working with large multi-source datasets.
Comfort working in Git-based version-controlled environments strong documentation practices are required.
Insurance industry experience is helpful but not required.
Why This Role is Unique
Strategic Impact See the direct business value of your models on core growth and profitability levers across the enterprise.
High Visibility Present directly to the Enterprise Chief Advanced Analytics Officer and other senior executives.
End-to-End Ownership Own solutions from data wrangling and feature engineering through model development deployment and monitoring in production.
Innovative Entrepreneurial Environment Test new ideas quickly in an agile responsive culture that embraces a Do It Now" mindset with rigorous measurement and engineering discipline.
Salary Range
The pay range for this position is $152,000 to $217,000 annually. Actual compensation will vary based on multiple factors including employee knowledge and experience role scope business needs geographical location and internal equity.
Perks and Benefits
4 weeks accrued paid time off 9 paid national holidays per year Free onsite gym at our Boston Location Tuition Reimbursement Low cost and excellent coverage health insurance options that start on Day 1 medical dental vision Robust health and wellness program and fitness reimbursements Auto and home insurance discounts Matching gift opportunities Annual 401k Employer Contribution up to 7.5 of your base salary Various Paid Family leave options including Paid Parental Leave Resources to promote Professional Development LinkedIn Learning and licensure assistance Convenient location directly across from South Station and Pre-Tax Commuter Benefits
About the Company
The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowners 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 1900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of A-Excellent