Director II, Data Science

Description

The Specialty Product Design and Modeling Team is 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.

 

The Director II, Data Science is a frontline manager role reporting to the Specialty Senior Director and will be responsible for the following:

    

Frontier Program Representation Liberty Mutual is transforming US Retail Markets Personal Lines onto a modern Unified Insurance Platform (UIP), built to simplify how we go to market and respond to customers with greater speed and precision. 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.

    

Condo & RV Programs You will own the pricing design and modeling for the Condo and RV programs, ensuring these products deliver best-in-class segmentation and maintain the highest competitiveness in the marketplace.

  

Research & Analytical Capacity 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. We don't expect every capability on day one, we expect intellectual curiosity, learning agility, and the drive to add value quickly.

 

People Leadership You will manage, coach, and develop a team of 3–5 data scientists, building a high-performing culture where people grow, collaborate, and do their best work.

 

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
• Own end-to-end pricing design and modeling for Condo and RV programs
• 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
• Contribute to high-impact modeling and analytical work across the Specialty portfolio
• Tell the story: communicate complex technical work clearly to senior leaders and cross-functional partners
• Manage, coach, and develop a team of 3–5 data scientists

 

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
• You know how to build and sustain a high-performing team culture
• 6–8 years of relevant insurance experience preferred
• 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)
• 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

• Deep knowledge of predictive analytic techniques and statistical diagnostics of models.• Expert knowledge of predictive toolset, to include highly technical tools.• Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent.• Demonstrated ability to exchange ideas and convey complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which s/he interacts.• Ability to establish and build relationships within and outside the aligned functional area or SBU. Ability to give effective training and presentations to management and other groups.• Presents to senior or functional department leaders or executives.• Broad knowledge of business drivers and market context.• Has a value driven perspective with regard to understanding of work context and impact.• Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study) and 5 to 7 years of relevant experience or may be acquired through a Bachelor`s degree (scientificfield of study) with 10 years of relevant experience.• Insurance or financial services industry experience preferred.

 

Employees may apply for a new role after completing 12 months of employment in their current position.

 

Employees should review all role requirements and apply only for positions for which they are eligible. Hiring processes may vary by country, including differences in procedures, requirements, and timelines.  For country-specific details, please consult your local recruiting / HR team.

Travel

10%