Job description

Overview: If  you're  looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup,  we’re  hiring.  SageSure , a leader in catastrophe-exposed property insurance, is seeking a Data Scientist to join our team. In this role, 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, leverage spatial , property, policy and claims data, automate complex workflows, and work wit h in a cross-functional team – including Product Development, Underwriting, Cat Modeling, Data and Risk Management - to support profitable growth.  The ideal candidate enjoys solving difficult business problems through data science, thrives working with large and complex datasets, and has experience applying technologies alongside modern analytics and AI techniques. What you’d be doing: Deliver analytical insights that support business decisions as a member of a cross-functional team — including Product Development, Underwriting, Cat Modeling, Data and Risk Management. Design and develop statistical, geospatial, and machine learning models that improve underwriting performance and portfolio management. Analyze spatial, exposure, catastrophe, and loss data to identify trends, concentrations of risk, and business opportunities. Execute predictive analytics, machine learning, and AI models that support pricing, underwriting, and operational efficiency. Apply statistical techniques including regression, clustering, classification, time series analysis, and causal inference to solve business problems. Support building software applications and analytical tools that automate underwriting and risk analysis. Build reusable data pipelines and automate data collection, cleansing, transformation, to support underwriting , product development and risk management . Design and maintain geospatial datasets using internal and third - party data sources. Develop software applications and APIs that support underwriting analytics and business decision making. Mentor junior team members and promote best practices for AI use within the department . Perform other duties and special projects as assigned We are looking for someone who has: Bachelor's degree in Data Science , Computer Science, Statistics, Mathematics, Geographic Information Systems (GIS), Engineering, Information Science, or a related quantitative discipline. 5 to 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 , and strong statistical modeling techniques 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 geospatial technologies. Experience developing automated data processing and analytical workflows. Experience building software applications or analytical tools that support business operations . Strong problem-solving and communication skills Highly preferred candidates also have: Experience in Property & Casualty insurance. Familiarity with catastrophe models and exposure management. Experience with geospatial statistics and spatial modeling. Experience with AI and Generative AI technologies. Experience with C#, .NET, or software engineering principles. About SageSure: Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020-2023), SageSure is one of the largest managing general underwriters (MGU) focused on catastrophe-exposed property in the US. Since its founding in 2009, SageSure has experienced exceptional growth while generating underwriting profits for carrier partners through hurricanes, wildfires, and hail. Available in 16 states, SageSure offers more than 110 home, flood, and commercial products on behalf of its highly rated carrier partners. Today, SageSure manages more than $3.2 billion of inforce premium and helps protect more than 970,000 policyholders.   We have more than 1,000 employees in a distributed workforce environment across 12 offices—Fairfield, CA; Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WI—who are tackling the industry’s toughest challenges.     SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work. Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets. Come join our team! Visit sagesure.com/careers to find a position for you. California Applicants: View SageSure’s Workforce Members’ Privacy Notice - CA Privacy Policy & Notice of Collection

Requirements

Must-haves

The ideal candidate enjoys solving difficult business problems through data science, thrives working with large and complex datasets, and has experience applying technologies alongside modern analytics and AI techniques.
Deliver analytical insights that support business decisions as a member of a cross-functional team — including Product Development, Underwriting, Cat Modeling, Data and Risk Management.
Design and develop statistical, geospatial, and machine learning models that improve underwriting performance and portfolio management.
Analyze spatial, exposure, catastrophe, and loss data to identify trends, concentrations of risk, and business opportunities.
Execute predictive analytics, machine learning, and AI models that support pricing, underwriting, and operational efficiency.
Apply statistical techniques including regression, clustering, classification, time series analysis, and causal inference to solve business problems.
Support building software applications and analytical tools that automate underwriting and risk analysis.
Build reusable data pipelines and automate data collection, cleansing, transformation, to support underwriting , product development and risk management .
Design and maintain geospatial datasets using internal and third - party data sources.
Develop software applications and APIs that support underwriting analytics and business decision making.
Mentor junior team members and promote best practices for AI use within the department .
Perform other duties and special projects as assigned
Bachelor's degree in Data Science , Computer Science, Statistics, Mathematics, Geographic Information Systems (GIS), Engineering, Information Science, or a related quantitative discipline.
5 to 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 , and strong statistical modeling techniques
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 geospatial technologies.
Experience developing automated data processing and analytical workflows.
Experience building software applications or analytical tools that support business operations .
Strong problem-solving and communication skills
Experience in Property & Casualty insurance.
Familiarity with catastrophe models and exposure management.
Experience with geospatial statistics and spatial modeling.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaipythonsql

Platform: greenhouse
Effort: quick