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Kingstone Insurance Company · 2 weeks ago

Senior Data Scientist – Predictive Modeling (Property Insurance)

United States

Full-time

Remote

Mid, Senior Level

$110K/yr - $160K/yr

7+ years exp

Kingstone Insurance Company is looking for a skilled Senior Data Scientist focused on predictive modeling to join their Actuarial team. This role involves the entire modeling lifecycle, including design, development, validation, and implementation of models to drive data-driven decision-making within the company.

Financial ServicesInsurancePersonal Finance

No H1B

Responsibilities

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

Qualification

Predictive modelingData managementSQLRPythonInsurance industry experienceLarge-scale datasetsMachine learning techniquesCommunication skillsCollaborative strengthsSelf-motivation

Required

An advanced degree in Statistics, Data Science, or a related field; or a bachelor's degree with 7+ years of predictive modeling experience

5+ years of experience working in a data science modeling development position in the insurance field

Experience working for a personal lines P&C insurance carrier, preferably with experience in the Homeowners business

Expertise in Microsoft Office tools, SQL, and R or Python

Hands-on modeling experience with large-scale datasets and a deep understanding of predictive modeling, data mining, and other quantitative and research analytics (Generalized Linear Models, Multivariate Analysis, Bayesian Methods, Non-Linear Models, Decision Trees, Parametric estimation, Machine learning techniques, etc.)

Intensive experience managing, processing and analyzing data for modeling purposes

Industry expertise in predictive analytics tools, regression models, and software (preferably Earnix) is required

Self-motivation and capability of independently and proactively advancing projects

Strong willingness to learn and attention to detail

Excellent communications skills including verbal, written, and presentation skills

Collaborative strengths and ability to work as part of a team as well as cross-functionally

Ability to develop and deliver communications for complex technical projects to non-technical audiences (appropriate audience, level of detail, urgency)