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Campus Graduate I Summer Internship Program - 2026 Global Decision Science, Credit & Fraud Risk

New York, NY

Internship

Hybrid

Intern

$24.05/hr - $63/hr

Start in 2026 Summer

American Express is a company with a long history of innovation and commitment to customer service. They are seeking a Data Science Intern to support the development of predictive models for credit and fraud risk management, utilizing advanced analytics and machine learning techniques to drive business decisions.

Computer Software

No H1B

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

Qualification

PythonSQLMachine LearningStatistical AnalysisAI TechniquesCloud & Big Data ToolsPresentation SkillsTeam Player

Required

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

Preferred

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