Applies knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform underwriting decisions.

Research and develop in-house AI/ML products with other team members, including data scientists, IT developers, and business stakeholders.

Identifies and tests hypotheses, ensuring statistical significance, as part of building and developing predictive models for business applications.

Understand our underwriting process and principles, determine predictive modeling strategies to improve insurance risk selection and pricing.

Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.

Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes.

Customizes analytic solutions to specific client needs.

Responsible for smaller components of projects of moderate-to-high complexity.

Regularly engages with the data science community and participates in cross-functional working groups.

Domestic travel required up to 10%.

Telecommuting permitted up to 60%.

Requirements:

Employer will accept a PhD (or foreign equivalent) in Statistics, Data Science or related field and 1 year of experience in the job offered or in an Analyst II, Data Science-related occupation.

Position requires demonstrable experience in the following, which can be gained in a professional or academic setting:

Demonstrated proven, in-depth knowledge of deep learning, machine learning, predictive analytics, and statistical modeling, including model diagnostics and validation.

Demonstrated comprehensive knowledge of data science toolkit, encompassing data warehousing, data mining, and advanced data analysis techniques.

Extensive hands-on experience with statistical programming languages including Python, SQL and R.

Deep understanding and practical application of MLOps best practices for efficient model development, deployment, and monitoring.

Demonstrated hands-on experience of using MLFlow, Databricks, and Docker Containers.

Demonstrated comprehensive knowledge of insurance operations and familiarity with procedures of finance, underwriting, insurance claims and information technology.

Demonstrated ability to exchange ideas and convey complex information clearly and concisely, both verbally and in writing.

Demonstrated a strong understanding of the work @context and the impact of data science on insurance products.

Domestic travel required up to 10%.

Telecommuting permitted up to 60% To apply, please visit https://jobs.libertymutualgroup.com/, select "Search Jobs," enter job requisition #2026-74318 in the "Job ID or Keywords" field, and submit resume. Alternatively, you may apply by submitting a resume via e-mail to RecruitLM@LibertyMutual.com. Reference requisition number in subject of e-mail.

Liberty Mutual Group Inc.

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