About this role
Liberty Mutual Insurance is adding an Analyst II, Data Science in Seattle, United States, with the role set up as on a hybrid schedule. The work falls under Data Science & AI, so the day-to-day sits squarely in that field. Part of the week is in the office and part is remote, which is how the hybrid setup is described. The level given is mid-level, so applicants should be around that stage of their career. Read the full posting below for the requirements and the application link.
Your Career Hunter matched this listing against the employer's careers page on Nov 4, 2026.
Job Overview
Job description provided by Liberty Mutual Insurance.
Liberty Mutual is hiring an Analyst II, Data Science in Seattle, in its Analytics team, with telecommuting permitted up to 60% and domestic travel up to 10%. The role applies sophisticated analytics techniques to large structured and unstructured data sets to generate insights for underwriting decisions. The analyst researches and develops in-house AI and machine learning products with data scientists, IT developers and business stakeholders. They identify and test hypotheses, ensuring statistical significance, while building predictive models for business applications. The work includes understanding the underwriting process and principles and setting predictive modelling strategies to improve risk selection and pricing. Findings are translated into accessible visuals for non-technical audiences, showing trade-offs and likely outcomes clearly. The analyst customises analytic solutions to specific client needs and takes responsibility for smaller components of moderately to highly complex projects. Candidates need a PhD in Statistics, Data Science or a related field plus one year of experience in the role or a related occupation. Required experience includes deep learning, machine learning, predictive analytics and statistical modelling, plus Python, SQL and R and MLOps practices. Hands-on experience with MLFlow, Databricks and Docker containers is also required, and applicants may apply by email quoting requisition 2026-74318.