Note: The job is a remote job and is open to candidates in USA. West Bend Insurance Company is recognized as a Top Workplace and values its associates as its greatest asset. The Senior Data Scientist will apply advanced analytics and data science techniques to solve complex Property & Casualty insurance business problems, collaborating with stakeholders to improve pricing, underwriting, and risk management.
Responsibilities
- 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
Skills
- 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
- Master's degree or equivalent experience in Data Science, Statistics, Mathematics, Economics, Computer Science, Operations Research, or a related field
- P&C insurance credentials such as ACAS, FCAS, CPCU, or CSPA
Benefits
- 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
- Flexible work options (remote, hybrid, or office-based depending on location)
Company Overview
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