Director, Data Science: Specialty Product Design and Modeling Team

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 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 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 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) 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 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.