Data Scientist

📋 Description

• Develop scalable analytical tools leveraging geospatial analytics, property, policy and claims data.
• Build predictive analytics, machine learning, and AI models for underwriting and risk management.
• Collaborate with cross-functional teams (Product, Underwriting, Cat Modeling, Data, Risk).
• Automate workflows and data pipelines to support underwriting and risk analysis.
• Execute spatial analyses and analyze exposure, catastrophe, and loss data to identify trends and

🎯 Requirements

• Bachelor's degree in Data Science, Computer Science, Statistics, GIS, Engineering, or related
• 5 to 7 years of experience in data science, analytics, software development, or geospatial
• Experience in statistical modeling, predictive analytics, and building reusable data pipelines.
• Strong SQL and relational database skills; experience with large structured/unstructured datasets.
• Proficiency in Python; knowledge of SAS or R; experience with GIS platforms (ESRI ArcGIS
• Strong problem-solving and communication skills.

🎁 Benefits

• Competitive compensation and benefits package.
• Distributed workforce with multiple office locations (Chicago, Fairfield, Houston).
• Opportunities for career growth in a leading catastrophe-exposed property insurer.