Director, Data Science: Specialty Product Design and Modeling Team

Description

The Specialty Product Design and Modeling Team are the team behind the science of pricing for Liberty Mutual's Specialty Lines products (Landlord, Umbrella, Condo, Renters, Specialty Vehicles). Using advanced predictive analytics and statistical modeling, we build and refine rating programs that drive profitable growth. But we're more than a modeling team. We shape strategy, decide which variables matter, source the best data, and design rating programs that give Liberty Mutual a genuine competitive edge.

 

About the Role:

This is Director level position is a senior individual contributor role reporting to the Specialty Senior Director with two core components:

Frontier Program Representation: Liberty Mutual is transforming US Retail Markets Personal Lines through radical simplification — one unified set of products across all distribution channels, digitally enabled experiences, and a modern Unified Insurance Platform (UIP) built for simplicity, speed, and scale. You will serve as the primary Specialty Data Science representative on this cross-functional effort, translating deep expertise in Specialty rating programs into clear requirements that inform the platform build. This isn't a program management role — it's about ensuring the science of how we price is preserved, correctly implemented, and positioned to evolve on the new platform.

Research: Beyond Frontier, you will advance the science of Specialty pricing — researching new modeling techniques, evaluating novel data sources, and improving segmentation — while contributing to high-impact research and modeling work across the Specialty portfolio.

 

What You'll Do:

• Own Specialty's voice on Frontier — ensure our requirements are heard, documented, and built correctly across a multi-year transformation
• Become the expert on all Specialty rating programs: coverages, rating structures, data definitions, and pipelines
• Connect the dots across Product, Technology, Delivery, and Actuarial teams — keep work moving and surface problems early
• Research emerging modeling techniques, test new variables, and identify data sources that sharpen our competitive edge
• Flex across the Specialty team to support high-priority modeling and analytical work
• Tell the story — communicate complex technical work clearly to senior leaders and cross-functional partners

 

Ideal Candidate:

• You're energized by complex problems and equally comfortable in model details and executive conversations
• You don't wait to be told what to do — you figure out what needs to happen and make it happen
• You thrive in ambiguity and pick up new domains faster than most
• You have personal lines insurance experience and hands-on modeling skills (Python, SAS, Emblem)
• You are able to collaborate and achieve alignment across large cross-functional teams

 

Preferred Qualifications:

Education & Experience

• Advanced degree in Statistics, Mathematics, Data Science, or a related quantitative field preferred; Bachelor's degree with substantial relevant experience considered
• 6–8 years of relevant insurance experience preferred

 

Technical Skills

• Deep knowledge of predictive analytic techniques and statistical model diagnostics
• Proficiency in predictive modeling tools (e.g., Python, SAS, Emblem, Excel)
• Strong understanding of data sources, rating systems, and Specialty Lines business context (lines, systems, pricing plans)

 

Leadership & Communication

• Demonstrated ability to communicate complex information clearly — verbally, visually, and in writing — across varied audiences and stakeholder levels
• Skilled at building relationships and driving alignment across large, cross-functional teams
• Ability to use data and analysis to influence teams, department heads, and senior leadership
• Value-driven mindset with strong awareness of business context and impact
• Proactively challenges the status quo and identifies opportunities to improve team and organizational capabilities

**Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel. **

Qualifications

• Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
• Advanced knowledge of predictive toolset; reflects as expert resourc