Data Scientist

Method Workers' Comp

. Partner with teams across the business, from Underwriting to Customer Experience, to identify how data can drive better decisions .

Posted 10/13/2026full-timeUnited StatesMid-LevelSenior💰 $113,763 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in predictive modeling, statistical analysis, and data-driven decision-making, with a strong ability to collaborate across teams to enhance customer engagement and operational efficiency. Proficient in Python and SQL, with experience in developing and operationalizing analytical models in the insurance domain.

Highest-signal resume keywords

Predictive ModelingStatistical AnalysisPython ProficiencySQL ProficiencyData Exploration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingRegressionClassificationClusteringStatistical AnalysisAnomaly DetectionSegmentationChurn AnalysisData AnalysisMachine Learning Techniques

Soft Skills

CollaborationCommunicationProblem-SolvingAnalytical ThinkingAdaptability

Tools & Technologies

ETL ToolsData DashboardsAPIsData Tools

Industry Keywords

P&C InsuranceData ScienceAnalyticsStatistical ModelingBusiness Intelligence

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Partner with teams across the business, from Underwriting to Customer Experience, to identify how data can drive better decisions
Translate business needs into analytical approaches and communicate findings clearly and actionably
Analyze customer and broker behavior to improve engagement, retention, and conversion
Perform segmentation, churn analysis, usage-pattern analysis, and anomaly detection
Investigate business problems and test hypotheses through rigorous data exploration
Develop predictive models and statistical analyses for pricing, reserving, underwriting, and claims initiatives
Explore and evaluate internal and third-party datasets and incorporate them into models and dashboards
Operationalize models by integrating them into tools and workflows
Collaborate with engineering and product to make insights accessible, scalable, and reliable
Maintain and enhance ETLs, develop internal data tools or APIs, and optimize reporting and dashboards
Support ad-hoc data requests and deep dives and identify opportunities for automation or model development

Requirements

What you’ll need

5+ years of experience in a data science, analytics, or statistics-focused role
Experience partnering with business leads across different functions to solve problems using data
Hands-on experience with predictive modeling, including regression, classification, clustering, and other ML techniques
Proficiency in Python and SQL
Familiarity with advanced statistical modeling (Bayesian modeling, hierarchical models, etc.) is a plus
Familiarity with P&C insurance data and industry-specific modeling challenges is a bonus
Remote team members must reside and work within the United States
Remote team members must maintain access to reliable, high-speed internet

Benefits

Comp & perks

Flexible PTO
Generous parental and caregiver leave
401(k) matching
Comprehensive medical, dental, and vision plans
Remote-first culture with dedicated support for distributed teams
Reliable, high-speed internet access required for remote team members