Leads a data science team responsible for P&C insurance pricing and risk classification. Develops, validates, deploys, and monitors predictive pricing models; manages the full modeling lifecycle; translates analyses into business insights; and guides pricing strategy, governance, compliance, stakeholder partnerships, and team development.
Description
Duties:
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 tests 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.
Customizes analytic solutions to specific stakeholder needs.
Regularly engage with the data science community and leads cross functional working groups.
Position requires domestic (U.S.) travel up to 5%
Telecommuting permitted up to 100%
Qualifications
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.
REFER TO: 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.
About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
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.
Fair Chance Notices
$156,000.00 - 281,000.00
Duties:
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 tests 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.
Customizes analytic solutions to specific stakeholder needs.
Regularly engage with the data science community and leads cross functional working groups.
Position requires domestic (U.S.) travel up to 5%
Telecommuting permitted up to 100%
Qualifications
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.
REFER TO: 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.
About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
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.
Fair Chance Notices
- California
- Los Angeles Incorporated
- Los Angeles Unincorporated
- Philadelphia
- San Francisco
$156,000.00 - 281,000.00
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