Senior Data Scientist

West Bend Insurance Company

Senior Data Scientist applying advanced analytics and machine learning techniques in the Property & Casualty insurance sector. Collaborate with stakeholders to enhance pricing accuracy and risk management.

Posted 7/22/2026full-timeRemote • Wisconsin • 🇺🇸 United StatesSenior💰 $140,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in predictive modeling and advanced analytics within the Property & Casualty insurance sector, utilizing tools like Python and SQL to analyze complex datasets and deliver actionable insights. Strong communication skills facilitate the translation of analytical findings into business strategies.

Highest-signal resume keywords

Predictive ModelingAdvanced AnalyticsProperty & Casualty Insurance ExperiencePython ProgrammingSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingAdvanced AnalyticsData ScienceMachine LearningStatistical ProgrammingData AnalysisSQLPythonRSAS

Soft Skills

Strong Communication SkillsAnalytical MindsetCollaborative MindsetSelf-Motivated

Tools & Technologies

SparkDatabricksSnowflakeDataikuCloud-Based Data Platforms

Industry Keywords

Property & Casualty InsuranceCommercial P&C PricingRisk-Tiering ModelsData SourcesBusiness Processes

Tech Stack

Tools & technologies

CloudPythonSparkSQL

About the role

Key responsibilities & impact

Design, develop, and maintain predictive models, algorithms, and analytical solutions supporting pricing, underwriting, claims, and other P&C insurance functions
Apply advanced analytics and machine learning techniques to identify trends, risks, and business opportunities
Translate business and strategic objectives into clear analytics, reporting, and data requirements
Analyze large, complex datasets (structured and unstructured) using SQL, Python, Spark, or similar tools
Document, present, and explain modeling methodologies and results for business partners and regulatory review
Identify, evaluate, and integrate internal and external data sources to meet business needs
Collaborate with cross-functional teams to deliver practical, production-ready analytical solutions
Promote analytics best practices and provide consultation on data-driven initiatives
Evaluate third-party data, models, and analytical tools in partnership with vendors

Requirements

What you’ll need

6+ years of advanced analytics, data science, or predictive modeling experience
3+ years of Property & Casualty insurance experience (strongly preferred in commercial P&C pricing, rating, or risk-tiering models)
Strong knowledge of P&C insurance data, data sources, and business processes
Proficiency in Python, R, SAS, or similar statistical programming languages (experience with at least two preferred)
Experience working with large datasets using SQL, Spark, or cloud-based data platforms
Familiarity with MLOps and machine learning platforms such as Databricks, Snowflake, Dataiku, or similar
Strong written and verbal communication skills with the ability to explain complex analytics to business audiences
Self-motivated, analytical, and collaborative mindset

Benefits

Comp & perks

Medical & Prescription Insurance
Health Savings Account
Dental Insurance
Vision Insurance
Short and Long Term Disability
Flexible Spending Accounts
Life and Accidental Death & Disability
Accident and Critical Illness Insurance
Employee Assistance Program
401(k) Plan with Company Match
Pet Insurance
Paid Time Off. Standard first year PTO is 17 days, pro-rated based on month of hire. Enhanced PTO may be available for experienced candidates
Bonus eligible based on performance