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

As a Data Scientist, you will partner with a cross-functional team to identify model risks, build machine learning models, and contribute to model governance in loss forecasting.

The Director of Data Science will lead a team in utilizing machine learning and AI technologies to improve financial decision-making and model strategy, collaborating with engineers and researchers.

The Head of Data Science will manage and grow a team of data scientists, mentor team members in modeling, and collaborate with product and engineering teams for data-driven solutions.

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

The Vice President, Data Scientist Lead will shape JPMC's AI strategy by modernizing data analysis with ML and NLP, developing tools, collaborating with teams, and enhancing data governance.

Analyze complex datasets and build predictive models. Collaborate with teams to derive insights from data and improve business processes.

As a Staff Applied Scientist, you will build causal inference models to assess product impacts, mentor colleagues, and advise leadership on product strategy.

Manage data analysts and scientists focused on payments products and compliance. Responsible for data analytics, team growth, and cross-functional partnerships.

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.

The Senior Data Scientist will design and deploy agentic AI solutions, integrate autonomous systems, and mentor junior scientists, focusing on business process automation and enhancing decision making.

The Technical Lead in Data Science will mentor a team, shape analytical frameworks, and lead development of analytical systems, ensuring rigorous standards are met while delivering business insights.

The intern will assist the data science team by working on projects related to Ardian's portfolio assets and company-wide initiatives, requiring autonomy with supervision.