Liberty Mutual Insurance · 2 hours ago
Analyst II, Data Science
US-WA-Seattle
Full-time
Hybrid
Entry, Mid Level
$114K/yr - $193K/yr
1+ years expLiberty Mutual Insurance is seeking an Analyst II in Data Science to apply advanced analytics techniques to large datasets for underwriting decisions. The role involves developing AI/ML products, building predictive models, and translating data analyses into accessible visuals for stakeholders.
FinanceFinancial ServicesInsurance
Responsibilities
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%
Qualification
Required
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
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
Benefits
Flexible Time Off Annual Accrual - days: 20
Comprehensive benefits
Workplace flexibility
Professional development opportunities
Company
Liberty Mutual Insurance
Liberty Mutual Insurance provides a broad range of insurance products and services.
10001+ employees
H1B Sponsorship
Liberty Mutual Insurance has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (14)
2023 (5)
2022 (8)
2021 (12)
2020 (5)
Funding
Current Stage
Late StageTotal Funding
$886.84M2025-09-17Debt Financing· $886.84M
Leadership Team
Julie Haase
EVP and Chief Financial Officer, Liberty Mutual Insurance
Joann Gomez
Division Vice President, Risk Management - West Zone
Recent News
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