Senior Data Scientist — P&C Pricing & ML Analytics

Jobtailor; Wisconsin; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Jobtailor is seeking a seasoned data scientist to design, build, and scale predictive models for pricing, underwriting, and claims in Property & Casualty insurance. The role emphasizes translating business goals into analytics, and requires strong Python/R/SAS skills with SQL/Spark experience.

The ideal candidate collaborates across teams to deploy production-ready analytics, evaluates external data and tools, and communicates results clearly to business partners and regulators.

Qualifications

• 6+ years of advanced analytics, data science, or predictive modeling experience.
• 3+ years of Property & Casualty insurance experience (commercial pricing, rating, or risk-tiering models) preferred.
• Strong knowledge of P&C insurance data, data sources, and business processes.
• Proficiency in Python, R, SAS, or similar languages (two or more).
• Experience with large datasets using SQL, Spark, or cloud platforms.
• Familiarity with MLOps and ML platforms like Databricks, Snowflake, Dataiku.
• Strong written and verbal communication for business audiences.
• Self-motivated, analytical, collaborative mindset.

Responsibilities

• Design, develop, and maintain predictive models for pricing and underwriting.
• Apply analytics to identify trends, risks, and opportunities.
• Translate objectives into data requirements and reporting.
• Analyze large datasets using SQL, Python, Spark, or similar tools.
• Document methodologies and present results for partners and regulators.
• Collaborate with cross-functional teams to deploy production-ready analytics.
• Evaluate third-party data, models, and tools with vendors.

Skills

Predictive Modeling

Advanced Analytics

Data Science

Machine Learning

Statistical Programming

SQL

Python

R

SAS

Data Analysis

Tools

Spark

Databricks

Snowflake

Dataiku

Cloud Platforms

Job description

Jobtailor is seeking a seasoned data scientist to design, build, and scale predictive models for pricing, underwriting, and claims in Property & Casualty insurance. The role emphasizes translating business goals into analytics, and requires strong Python/R/SAS skills with SQL/Spark experience.

The ideal candidate collaborates across teams to deploy production-ready analytics, evaluates external data and tools, and communicates results clearly to business partners and regulators.