The Position

The Data Science Intern will support the development of predictive models used across credit, fraud, and marketing to inform key business decisions. They apply statistical techniques and machine learning to real-world datasets, contributing to innovation in areas like customer personalization, risk management, and regulatory compliance.

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.
• Use deep learning to uncover hidden trends in fraud and credit bust-out.

• Programming (Python or R) – Writing scripts for data analysis, modeling, and automation.

Requirements

• Currently enrolled in a full-time Masters degree program
• Master's 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.
• Proficiency in the following skills:
  • 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.
  • Strategic mindset, that connects work to broader strategy and suggest ideas to enhance scalability and impact

Nice To Haves

• Graduate students enrolled in one of the areas below areas or related fields:
  • Computer Science
  • Statistics
  • Data Science
  • Mathematics

  • Artificial Intelligence

• Prior experience, taking initiative to establish or lead an on-campus student organization
• Proven deep analytical skills with the ability to design new decisioning models or develop innovative tools
• Skilled in delivering presentation to wide-ranging audience

Company
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.