- 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