Top Fintech Data Science Jobs

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

As a Senior Manager, Data Scientist at Capital One, you will leverage advanced technologies to build statistical and machine learning models, translate complex data insights into business goals, and lead a team focused on innovative credit review solutions.

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.

As a Staff Data Scientist at Gusto, you will drive data-informed decision-making, lead projects, collaborate with teams, and mentor others in statistical analysis and experimentation.

The Data Scientist role involves developing analytic solutions, leading client engagements, designing predictive models, and delivering insights across industries served by TransUnion, particularly in financial services.

The Senior Data Scientist will develop advanced analytics and machine learning models, optimize ETL pipelines, and collaborate with business partners for data-driven solutions.

As a Senior Data Scientist, you'll partner with executives, leverage AI for insights, lead forecasting efforts, and mentor juniors in a high-impact data role.

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.

The Staff Data Scientist will develop loss projections for lending products, analyze data to support strategic goals, and improve forecasting methodologies while collaborating with various teams.

Develop and deploy AI-powered analytics tools, build proactive intelligence systems, and drive leverage across the business, impacting decisions with data.