Senior Data Scientist - Geospatial Insurance Analytics

SageSure; Chicago (IL); On-site; USD 120,000 - 155,000; Full time

Job summary

SageSure in Chicago, IL, is seeking a Data Scientist to join our team. You will combine geospatial analytics, statistical modeling, machine learning, and software development to solve complex underwriting and risk management challenges.

You will develop scalable analytical tools, work with policy, claims, and exposure data, and build reusable data pipelines to support pricing and portfolio management. The ideal candidate enjoys solving difficult business problems with large datasets and modern

Qualifications

• Bachelor's degree or higher in a quantitative field (Data Science, Statistics, GIS, Computer Science, Engineering).
• 5–7 years of experience in data science, analytics, software development, or geospatial analytics.
• Experience with statistical modeling techniques and building predictive models using Python, SAS or R.

Responsibilities

• Deliver analytical insights as part of a cross-functional team (Product Development, Underwriting, Cat Modeling, Data and Risk Management).
• Design and develop statistical, geospatial, and machine learning models to improve underwriting performance and portfolio management.
• Analyze spatial, exposure, catastrophe, and loss data to identify trends and opportunities.
• Execute predictive analytics and AI models to support pricing, underwriting, and operational efficiency.
• Build reusable data pipelines and automate data collection, cleansing, transformation to support underwriting and risk management.

Skills

Geospatial analytics

Machine learning

Python

R

SQL

SAS

GIS

Statistical modeling

Data visualization

Education

Bachelor's degree in a quantitative field

Tools

ESRI ArcGIS

ArcGIS Pro

ArcObjects

Python data science libs (pandas, scikit-learn)

SQL databases

Job description

SageSure in Chicago, IL, is seeking a Data Scientist to join our team. You will combine geospatial analytics, statistical modeling, machine learning, and software development to solve complex underwriting and risk management challenges.

You will develop scalable analytical tools, work with policy, claims, and exposure data, and build reusable data pipelines to support pricing and portfolio management. The ideal candidate enjoys solving difficult business problems with large datasets and modern