Lead Data Scientist at Plymouth Rock Assurance | Boston, MA, US | Rezi

Lead Data Scientist at Plymouth Rock Assurance

Lead Data Scientist

Plymouth Rock Assurance · Boston, MA, US

6 days ago

Lead Data Scientist

Plymouth Rock Assurance · Boston, MA, US

7 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Lead Data Scientist role.

Rezi rewrites your resume against Plymouth Rock Assurance's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Lead Data Scientist posting at Plymouth Rock Assurance — free, in seconds.

About the Role

Plymouth Rock Assurance is applying advanced data science to deliver breakthrough insights and gain a competitive advantage in personal lines insurance. The Enterprise Data Science team partners with business leaders to deliver transformative analytics that drive profitable growth and improve operational performance across the enterprise. This role offers end-to-end ownership of solutions from data wrangling through model deployment and monitoring, utilizing modern machine learning and AI to accelerate discovery and reshape how the company competes.

Responsibilities

  • Identify and frame high-value problems across functional areas, translating business questions into analytical strategies, experiments, and measurable outcomes.
  • Develop, test, and deploy predictive models that drive profitable growth and improve operational performance.
  • Apply modern ML and AI techniques to accelerate development cycles, improve model performance, and deliver new capabilities.
  • Build production-ready solutions including robust data pipelines, feature engineering, measurement discipline, model monitoring, and clear documentation.
  • Communicate impact by telling the story with data, presenting recommendations to stakeholders, and influencing decisions at senior levels.
  • Advance team excellence by evaluating new methods and tools, sharing reusable components, elevating engineering standards, and mentoring others.

Requirements

  • PhD in a quantitative field (strongly preferred).
  • Strong foundation in statistics and applied modeling.
  • Hands-on experience with modern modeling tools and methods.
  • Experience with AI (e.g., NLP/LLMs, 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, including 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 with strong documentation practices.
  • Insurance industry experience is helpful but not required.

Skills

  • Python for statistical modeling
  • R for statistical modeling
  • SQL for large-scale data transformation and analysis
  • GLMs
  • Tree-based methods/GBMs (e.g., H2O, XGBoost, LightGBM)
  • Clustering
  • Bayesian methods
  • Regularization
  • Optimization
  • NLP/LLMs
  • Deep learning
  • Computer vision
  • AWS: S3, EC2, SageMaker
  • Snowflake
  • Relational databases
  • Git

Location

  • Boston

Work Type

  • Onsite

Experience Level

  • Lead
  • Senior
  • Data Scientist

Education Level

  • PhD

Salary/Compensations

  • $152,000 to $217,000 annually

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 401(k) 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

  • Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic.
  • They have built an unparalleled reputation for service.
  • The company continuously invests in technology, fosters an empowering environment for employees, and boasts loyal customers.
  • The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts.
  • Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent”.