Assistant Director, Data Science: US Property & Specialty Product Design and Modeling

Liberty Mutual Insurance is seeking an Assistant Director for their US Property & Specialty Product Design and Modeling team to shape the future of pricing for their Renters portfolio. The role involves leading pricing programs, collaborating with various teams, and utilizing advanced data science techniques to drive profitable growth.

Responsibilities:

• Own the pricing roadmap: Develop industry-leading pricing programs in close collaboration with the Product team that unlocks segmented, profitable growth opportunities across the Renters Portfolio
• Drive program rollouts: Lead end-to-end deployment of pricing programs — including model adjustments for regulatory requirements, documentation, and DOI objection responses
• Collaborate across functions: Partner with Delivery, Specialty Product, Program Management, IT, and other teams to ensure fast, effective launches
• Analyze & iterate: Monitor Post Launch results and work hand-in-hand with business teams to refine go-forward market strategy
• Innovate continuously: Identify new profitable growth opportunities by researching emerging modeling techniques and testing novel variables and new data sources
• Lead with influence: Communicate tradeoffs clearly, guide leadership toward best courses of action, and deliver on commitments

Requirements:

• Broad knowledge of predictive analytic techniques and statistical diagnostics of models
• Expert knowledge of predictive toolset; reflects as expert resource for tool development
• Demonstrated ability to exchange ideas and convey complex information clearly and concisely
• Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU
• Ability to give effective training and presentations to peers, management and less senior business leaders
• Ability to use results of analysis to persuade team or department management to a particular course of action
• 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 2 years of relevant experience, a Masters degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelors degree(scientific field of study) and a minimum of 5+ years of relevant experience