Geospatial Data Scientist - Insurance Risk & Modeling

SageSure; Fairfield (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

SageSure is seeking a Data Scientist to combine geospatial analytics, statistical modeling, machine learning, and software development to solve underwriting and risk management challenges. You will develop scalable analytical tools using spatial, policy, and claims data to support profitable growth and automate workflows.

The role involves building models for underwriting, pricing, and portfolio management, designing data pipelines, and mentoring junior team members.

Qualifications

• Bachelor's degree in a quantitative field.
• 5–7 years of data science, analytics, software development, or geospatial analytics.
• Experience with statistical modeling techniques and building predictive models using Python, SAS or R.
• Experience developing solutions using SQL and relational databases.
• Experience working with large structured and unstructured datasets.
• Experience using GIS platforms such as ESRI ArcGIS, ArcGIS Pro, ArcObjects, or equivalent.
• Experience developing automated data processing workflows.
• Experience building software applications or analytical tools that support business operations.
• Strong problem-solving and communication skills.

Responsibilities

• Deliver analytical insights as part of a cross-functional team.
• Design and develop statistical, geospatial, and machine learning models to improve underwriting and portfolio management.
• Analyze spatial, exposure, catastrophe, and loss data to identify trends and opportunities.
• Execute predictive analytics, ML, and AI models to support pricing and underwriting.
• Apply regression, clustering, classification, time series, and causal inference techniques.
• Support building software applications and analytical tools that automate underwriting and risk analysis.
• Build reusable data pipelines and automate data collection, cleansing, transformation.
• Design and maintain geospatial datasets using internal and external data.
• Develop software applications and APIs for underwriting analytics.
• Mentor junior team members and promote AI best practices.
• Perform other duties and special projects.

Skills

Statistical modeling

Python

R

SAS

SQL

GIS (ArcGIS)

Geospatial analytics

AI / Gen AI

Education

Bachelor's degree in Data Science, CS, Statistics, Math or related quantitative field

Tools

ArcGIS Pro

ArcObjects

Job description

SageSure is seeking a Data Scientist to combine geospatial analytics, statistical modeling, machine learning, and software development to solve underwriting and risk management challenges. You will develop scalable analytical tools using spatial, policy, and claims data to support profitable growth and automate workflows.

The role involves building models for underwriting, pricing, and portfolio management, designing data pipelines, and mentoring junior team members.