Senior Data Scientist

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

• 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

• 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

Core Competencies

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 Modeling
• Advanced Analytics
• Property & Casualty Insurance Experience
• Python Programming
• SQL Proficiency

ATS Optimization Keywords

Hard Skills

• Predictive Modeling
• Advanced Analytics
• Data Science
• Machine Learning
• Statistical Programming
• Data Analysis
• SQL
• Python
• R
• SAS

Soft Skills

• Strong Communication Skills
• Analytical Mindset
• Collaborative Mindset
• Self-Motivated

Industry Keywords

• Property & Casualty Insurance
• Commercial P&C Pricing
• Risk-Tiering Models
• Data Sources
• Business Processes

Tools & Technologies

• Spark
• Databricks
• Snowflake
• Dataiku
• Cloud-Based Data Platforms