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Lead cutting-edge modeling efforts that shape pricing segmentation, customer retention and strategic business decisions for US Personal Lines at Liberty Mutual

Requirements

• Data extraction and manipulation skills, EDA, transformations, and general linear models (GLM)
• Foundational knowledge of predictive analytics tools
• Preferred skills of basic CART and GLM
• Demonstrated ability to exchange ideas and convey complex information clearly and concisely
• Competencies typically acquired through a Masters degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and no professional experience or may be acquired through a Bachelors degree and 3+ years of relevant experience.

Responsibilities

• Applies various techniques including GLMs, machine learning, and causal inference techniques; Gains confidence in skill application using analytics and data science techniques to help build complex retention, conversion, and price elasticity models
• Establish modeling pipelines and standardized visuals to help support the identification, evaluation and decision-making process surrounding tactical pricing opportunities.
• Support the implementation of tactical pricing changes, gaining business experience with robust consultation and collaboration across the org regarding state-specific opportunities.
• Gains experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes.
• Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
• Generate data-driven answers to open-ended strategic questions related to tactical pricing and present out on recommendations to leadership.
• Regularly engages with the data science community and participates in cross-functional working groups.

Other

• Competencies typically acquired through a Masters degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and no professional experience or may be acquired through a Bachelors degree and 3+ years of relevant experience.
• Has a value driven perspective with regard to understanding of work context and impact.
• May have in-office requirements based on candidate location.
• Level of position offered will be based on skills and experience at manager discretion
• Must be able to work in a team environment and collaborate with cross-functional teams.