[Hiring] Director, Data Science @Liberty Mutual Insurance

Role Description

• Manage and develop a team of data science and advanced analytics staff, driving accurate risk classification in pricing across three lines of business.
• Apply broad knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
• Drive innovation in the application and development of tools and practices.
• Mine large data sets using sophisticated analytical techniques to generate insights and inform business decisions.
• Identify and test hypotheses, ensuring statistical significance, and build highly complex, technical and creative predictive analytics for business applications.
• Translate quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
• Enable the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes.
• Guide aspects of project design as a technical consultant for the team.
• Customize analytic solutions to specific stakeholder needs.
• Regularly engage with the data science community and lead cross-functional working groups.
• Position requires domestic (U.S.) travel up to 5%.
• Telecommuting permitted up to 100%.

Qualifications

• Employer will accept a Bachelor’s degree (or foreign equivalent) in Actuarial Science, Statistics or related field and 10 years of experience in the job offered or in a Director II, Data Science-related occupation.
• P&C insurance domain expertise includes deep knowledge of exposure, premium and loss data, classification plans, state- and plan-level rate setting, and actuarial principles including credibility, loss development, trend analysis, experience rating and ratemaking.
• Develop, validate and deploy pricing models including GLMs and gradient-boosted models and diagnose model performance across lines of business and products.
• Own the full modeling lifecycle including data procurement, feature engineering, model selection, cross-validation, back-testing, calibration, monitoring, and model retraining.
• Technical proficiency with modeling tools and languages, requiring experience in at least two tools, including Python or Emblem, and additional proficiency in at least one of SAS or R.
• Experience with large-scale data wrangling and evaluation and selection of appropriate internal toolsets.
• Measure and improve pricing effectiveness including quantifying current pricing, identifying gaps, recommending pricing and model changes, define KPIs tied to underwriting profitability, and perform cost-benefit analyses to inform business decisions.
• Lead and develop team members including hiring, mentorship, individualized development planning, performance management, code and research review, and guidance on model design and tool selection.
• Project and stakeholder management including scope and prioritize work, estimate effort, assign resources, balance planned versus ad-hoc requests, evaluate new requests, negotiate timelines and replan deliverables.
• Cross-functional partnership and influence including work with product-line, state management, underwriting, IT and compliance and build business cases, advocate the pricing roadmap and support multi-state implementation and adoption.
• Governance and quality controls including maintaining audit-ready documentation, reproducible code, validation artifacts and versioning; ensure regulatory, privacy, fairness and transparency compliance; and promote testing, peer review, and continuous improvement.
• Experience may be gained during graduate program. Will accept any suitable combination of education, training, and/or experience. Multiple Positions Available.

Requirements

• Employer will accept a Bachelor’s degree (or foreign equivalent) in Actuarial Science, Statistics or related field and 10 years of experience in the job offered or in a Director II, Data Science-related occupation.
• Position requires demonstrable experience with the following:
• P&C insurance domain expertise includes deep knowledge of exposure, premium and loss data, classification plans, state- and plan-level rate setting, and actuarial principles including credibility, loss development, trend analysis, experience rating and ratemaking.
• Develop, validate and deploy pricing models including GLMs and gradient-boosted models and diagnose model performance across lines of business and products.
• Own the full modeling lifecycle including data procurement, feature engineering, model selection, cross-validation, back-testing, calibration, monitoring, and model retraining.
• Technical proficiency with modeling tools and languages, requiring experience in at least two tools, including Python or Emblem, and additional proficiency in at least one of SAS or R.
• Experience with large-scale data wrangling and evaluation and selection of appropriate internal toolsets.
• Measure and improve pricing effectiveness including quantifying current pricing, identifying gaps, recommending pricing and model changes, define KPIs tied to underwriting profitability, and perform cost-benefit analyses to inform business decisions.
• Lead and develop team members including hiring, mentorship, individualized development planning, performance management, code and research review, and guidance on model design and tool selection.
• Project and stakeholder management including scope and prioritize work, estimate effort, assign resources, balance planned versus ad-hoc requests, evaluate new requests, negotiate timelines and replan deliverables.
• Cross-functional partnership and influence including work with product-line, state management, underwriting, IT and compliance and build business cases, advocate the pricing roadmap and support multi-state implementation and adoption.
• Governance and quality controls including maintaining audit-ready documentation, reproducible code, validation artifacts and versioning; ensure regulatory, privacy, fairness and transparency compliance; and promote testing, peer review, and continuous improvement.
• Experience may be gained during graduate program. Will accept any suitable combination of education, training, and/or experience. Multiple Positions Available.

Benefits

• Telecommuting permitted up to 100%.
• Position requires domestic (U.S.) travel up to 5%.

Company Description

To apply, please visit https://jobs.libertymutualgroup.com/ , select “Search Jobs,” enter job requisition #2026-XXXXX in the “Job ID or Keywords” field, and submit resume. Alternatively, you may apply by submitting a resume via e-mail to [email protected] . Reference requisition number in subject of e-mail.