Analyst I, Data Science

Liberty Mutual Insurance is seeking a Junior Data Scientist to join their Capacity Modeling and Optimization team within Claims and Service Data Science. This role involves building data pipelines, developing statistical models, and supporting workforce planning through advanced forecasting and staffing optimization models.ResponsibilitiesSupport development of scalable data pipelines and automated quality controls (schema, completeness, drift) across multiple sourcesBuild statistical models for duration and action frequency; build exposure/phase level features and run exploratory/variance analysesAssist in clustering/segmentation and hypothesis testing to quantify efficiency and service impacts. Help build and run simulation models to compare assignment policies; analyze results and create scenario comparisonsHelp building work effort-based demand forecasts and staffing models; implement components of optimization models with supervisionMaximize usable data by applying censoring aware methods, imputation, and reconciliation, document assumptions and ensure reproducibilityCommunicate findings through dashboards, reports, and presentations; collaborate with Claims and Service partners to move insights into practiceFollow MLOps best practices (Git, reproducible workflows, experiment tracking) under mentorshipSkillsSolid knowledge of predictive analytics techniques and statistical diagnostics of modelsAdvance knowledge of predictive toolset; expert resource for tool developmentDemonstrated ability to exchange ideas and convey complex information clearly and conciselyHas a value-driven perspective with regard to understanding of work context and impactCompetencies typically acquired through a Master's degree (scientific field of study) and 0-1 years of relevant experience or a Bachelor's degree (scientific field of study) and 3+ years of relevant experienceSolid foundation in statistics and ML: regression/GLM, inference, experimental design; familiarity with survival/censoring, time series, and hierarchical modelsExposure to operations research and simulation: queueing concepts, discrete event or agent-based simulation; familiarity with OR Tools or Pyomo and SimPy is a plusProficiency in Python and SQL; experience with pandas, NumPy, scikit learn, stats models; visualization using Plotly/Seaborn and dashboarding (e.g., Dash) is a plusExperience writing clean, tested code with version control (Git); familiarity with MLflow and workflow orchestration (e.g., Airflow) is a plusComfort working with large, complex operational datasets; strong problem solving, communication, and collaboration skillsCoursework or experience in claims/service operations or workforce managementFamiliarity with cloud platforms (AWS/GCP/Azure) and distributed processing (Spark)Exposure to Docker and CI/CD; experience deploying models or dashboards with supervisionBenefitsComprehensive benefitsWorkplace flexibilityProfessional development opportunitiesOpportunities provided through our Employee Resource GroupsCompany OverviewLiberty Mutual Insurance provides a broad range of insurance products and services. It was founded in 1912, and is headquartered in Boston, Massachusetts, USA, with a workforce of 10001+ employees. Its website is http://www.libertymutualgroup.com.Company H1B SponsorshipLiberty Mutual Insurance has a track record of offering H1B sponsorships, with 7 in 2025, 14 in 2024, 5 in 2023, 8 in 2022, 12 in 2021, 5 in 2020. Please note that this does not guarantee sponsorship for this specific role.



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