The Credit and Fraud Risk (CFR) team at American Express needs to develop predictive models to inform key business decisions across credit, fraud, and marketing. The Data Science Intern will support the development of these models, contributing to innovation in customer personalization, risk management, and regulatory compliance.
Requirements
- Programming (Python or R) for data analysis, modeling, and automation
- SQL/Hive – Querying large-scale datasets efficiently.
- AI Techniques – Experimenting with modern AI methods, including neural networks and natural language processing.
- Machine Learning Hands-on experience in machine learning algorithm development or application
- Statistical Analysis – Interpreting data using descriptive and inferential statistics.
- Cloud & Big Data Tools – Basic experience with cloud platforms and distributed data systems.
- Use deep learning to uncover hidden trends in fraud and credit bust-out.
Responsibilities
- Query and manipulate large datasets using tools like SQL, Hive, and Python.
- Build and test predictive models using machine learning techniques (e.g., logistic regression, decision trees, clustering).
- Document modeling choices and provides rationale for algorithm selection.
- Translate business goals into technical requirements and analytical questions.
- Develop a clear and structured final presentation that communicates the project’s purpose, methods, insights, and business impact.
- Analyze current decisioning models, develop and implement a plan to improve model prediction accuracy.
- Improve automation of customer connects via a GenAI enabled chatbot tool.
Other
- Currently enrolled in a full-time PhD, Masters or Graduate degree program
- Graduate degree candidates with an expected graduation date between December 2026 and June 2027
- Effective team player with interpersonal skills; capable of working autonomously or collaboratively in cross-functional teams.
- Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions
- Skilled in delivering presentation to wide-ranging audience
