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

The Data Scientist will leverage AI and NLP technologies to develop scalable solutions and products, collaborating across teams to enhance customer experiences with innovative generative AI applications.

This PhD internship focuses on data science with responsibilities including designing models, integrating data sources, and supporting machine learning projects. Interns will work closely with their teams, receive mentorship, and may transition to full-time roles post-internship.

As a Data Scientist at Capital One, you will develop machine learning models, analyze data, collaborate with teams, and influence business strategies.

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.

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.

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

Lead a data science team focused on customer service excellence, utilizing analytics and machine learning to drive optimization and improve user experiences at Coinbase. The role emphasizes partnership across departments to enhance metrics and frameworks.

Lead a team of data scientists, guiding analytical systems design, ensuring data quality, and collaborating with stakeholders to drive data-driven investment strategies.

As a Data Science intern, you'll conduct research using data mining and statistical modeling, collaborating with teams to analyze large datasets and provide insights for investment decisions.

The Data Scientist II estimates, develops, and implements consumer credit models related to mortgage metrics and utilizes statistical methods and machine learning. This role involves cloud computing, data analysis, and communication of findings to nontechnical teams.