Kingstone Insurance Company

Data Scientist

• Design, build, and deploy pricing, underwriting, and customer demand models to continuously improve Kingstone’s profitability and growth.
• Oversee end-to-end model development and application.
• Lead modeling or data projects and guide junior data scientists.
• Continuously refresh and enhance existing models.
• Own data management for the modeling function, including data collection, integration, cleaning, processing and transformation.
• Explore new data sources and analytical techniques to ensure competitive advantage.
• Communicate analysis, insights, and results to team, business partners, and leaders.
• Share expertise with the business and the actuarial community through discussions, presentations, or peer reviews to improve business outcomes.

Senior Data Scientist – Predictive Modeling, Property Insurance

Product Analyst

• Serve as a point of contact for all opportunities and issues related to our Homeowners and Dwelling Fire products
• Participate in the development of the annual plan and strategy for its execution
• Analyze internal and external data to identify marketing, underwriting and product opportunities; work to identify and develop new product opportunities that produce the level of return expected by Kingstone’s Board of Directors
• Evaluate production to determine business quality and pricing opportunities
• Understand all applicable regulations and ensure Kingstone understands and is compliant with same; keep apprised of possible regulatory or legislative change that will impact the company
• Gain support of executive stakeholders and keep them apprised of progress, accomplishments, and opportunities
• Develop a deep understanding of catastrophe modeling and help to effectively manage catastrophe exposure
• Build relationships with Sales Reps; propose actions on their input where appropriate
• Understand the competitive landscape and work to better position Kingstone in the market
• Monitor procedures followed by underwriting and service provided to producers
• Keep current on new data sources, service offerings and innovations in the Homeowners market in order to determine relevance for Kingstone

Personal Lines Product Analyst – Property Insurance

Full-stack Engineer

• Create and maintain ETL/ELT processes for the Data Warehouse.
• Design, create and maintain tables, views, and stored procedures in the Data Warehouse and other databases.
• Develop and maintain data migration and import/export utilities.
• Collaborate with business units to surface data for reporting and analysis.
• Create and optimize SQL queries; create and maintain data transformation processes in Azure Data Factory, C#, and Power Query/Power BI.
• Integrate with third-party API specifications to import and export data.
• Participate in development practices subject to DFS regulations.
• Create documentation and participate in code reviews.

Senior Data Scientist – Predictive Modeling, Property Insurance

Personal Lines Product Analyst – Property Insurance

Data and Software Developer