Top Financial Services Data Science Jobs in New York City, NY

As a Principal Data Scientist, you'll develop predictive models, apply explainability techniques, and collaborate in AI-based decisioning in a regulated environment.

The Principal Data Scientist will develop predictive models, apply explainability techniques, and collaborate with cross-functional teams to drive credit decision-making using advanced analytics and machine learning.

As a Principal Data Scientist, you will develop predictive models to forecast credit outcomes, apply explainability techniques, and collaborate with cross-functional teams on AI-based decisioning in finance.

The Senior Associate - Data Scientist will develop AI and machine learning solutions, focusing on model lifecycle management and delivering AI initiatives in collaboration with business teams.

As a Senior Data Scientist, you will develop predictive models, conduct EDA, collaborate cross-functionally, and drive data-driven decisions.

The Data Scientist will design, build, and deploy machine learning solutions for automating claims adjudication in pet insurance, collaborating across teams, ensuring production readiness and ongoing optimization.

Lead Global Data Science & Analytics Identity Product Development to design and deliver identity fraud analytics, scores, and frameworks. Drive model development best practices, cross-functional collaboration, talent development, and product-aligned R&D for TransUnions Fraud roadmap.

As a Senior Data Scientist in Fraud Risk, you'll develop metrics, real-time monitoring systems, and implement predictive machine learning models to mitigate fraud while balancing customer experience.

The Data Scientist will develop and implement machine learning models for credit risk and operational areas, collaborate across teams, and enhance data-driven decision-making processes.

This role entails using statistics and machine learning to analyze complex datasets, implementing algorithms, and back-testing models. A PhD is required for this position.

As a Senior Data Scientist, you will develop models for fraud prevention, collaborate with engineers, and analyze data to enhance client services.

As a Senior Data Scientist, you will analyze data to produce insights, guide team decisions, improve systems, and influence stakeholders. You'll conduct rigorous experimentation and causal analysis to solve complex business challenges.