American Express Data Science Job Alerts 2026 – WFH[Hybrid]

Qualifications

Academic Background: MBA, master’s degree in economics, Statistics Or Related Fields From Top Tier Institute

Functional Skills/Capabilities:

• Hands-on model development or validation experience.
• Strong Analytical and Relationship and project management skills for driving validation initiatives.
• Experience in applying advanced statistical and/or quantitative techniques to solve business problems is preferred.
• Good Verbal, Written, Interpersonal skills and ability to work effectively in a team environment.
• Willingness to Collaborate with Cross-Functional teams to drive validation and Project Execution.
• Effectively communicating complex Analytical results to Business Partners and Senior Management.
• Flexibility and Adaptability to Work Within tight deadlines and changing priorities.

Technical Skills/Capabilities:

• Experience with at least one of the data manipulation tools such as R, JAVA, SQL and SAS is a must have.
• Data Science/ Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques – active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining Algorithms.

Purpose of the Role:

The successful candidate will be responsible for managing and controlling model risk, specifically associated to the next generation Artificial Intelligence or Machine Learning based models.  This role will elevate model excellence, strengthen long term shareholder value, and adapt to the changing landscape of both model development innovation, external environment and heightened regulatory expectations.