Director, Data Science: Specialty Product Design and Modeling Team
About the role
This is a Director level position reporting to the Specialty Senior Director. The role consists of two core components: Frontier Program Representation and Research.
Responsibilities
Own Specialty's voice on Frontier — ensure our requirements are heard, documented, and built correctly across a multi-year transformation.
Be 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.
Requirements
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.
Qualifications
Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
Advanced knowledge of predictive toolset; reflects as expert resource for tool development.
Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
Ability to establish and build relationships within and outside the organization.
Ability to give effective training and presentations to management and other groups.
Ability to use results of analysis to persuade team, department management or senior management to a particular course of action.
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 a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master’s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor’s degree (scientific field of study) and a minimum of 8 years of relevant experience.
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).
Benefits
Liberty Mutual offers a comprehensive benefits package that includes:
Comprehensive health, dental, and vision plans.
Flexible spending accounts for healthcare and dependent care expenses.
401(k) retirement savings plan with company match.
Employee assistance program.
Professional development opportunities.
Employee resource groups.
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.