Top Insurance Data Science Jobs in New York City, NY

Principal Data Scientist role focuses on developing predictive models for underwriting in healthcare using advanced machine learning techniques and large datasets. Collaborate across teams to drive data-driven solutions and stay updated on industry trends.

As a Data Scientist, you will leverage data to improve client experiences by designing metrics, running experiments, and creating data models. You'll support cross-functional teams in decision-making while crafting the company's data science culture.

As a Senior Data Scientist, you'll lead AI/ML projects, contribute to end-to-end model lifecycle, and collaborate with cross-functional teams to drive innovation in insurance underwriting.

Design and implement data pipelines, perform root cause analysis, ensure data accuracy, conduct exploratory analysis, develop predictive models, and create visualizations to optimize risk segmentation and support decision-making.

Lead Data Scientist responsible for managing projects in data engineering, model design, and infrastructure deployment while collaborating with clients to develop data-driven solutions.

The Senior Data Scientist will leverage ML and AI to develop models for risk adjustment, conduct data analysis, collaborate with teams, and implement solutions.

The Actuarial Analyst role involves data analytics, performance monitoring, competitive intelligence, and market analysis to optimize insurance products.

As a Data Scientist II at Root, you will refine pricing models, ensure regulatory compliance, collaborate across departments, and apply technical expertise in data analysis and modeling.

The Senior Data Scientist will lead data science projects, mentor junior staff, and translate business challenges into machine learning solutions, influencing business strategy through data insights.

The Data Science Manager will lead a multidisciplinary team in delivering data science solutions, ensuring alignment with strategic goals and managing project delivery processes.