Campus Graduate II Summer Internship Program - 2026 Global Decision Science, Credit & Fraud Risk - New York, NY jobs in United States
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American Express · 22 hours ago

Campus Graduate II Summer Internship Program - 2026 Global Decision Science, Credit & Fraud Risk - New York, NY

American Express is a company with a rich history of innovation and a commitment to its customers and employees. They are seeking a Data Science Intern to support the development of predictive models used across credit, fraud, and marketing, applying statistical techniques and machine learning to inform key business decisions.

Credit CardsFinanceFinancial ServicesPaymentsTravel
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Comp. & Benefits
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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 ToolsInterpersonal SkillsPresentation SkillsStrategic Mindset

Required

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
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
2 years minimum work experience using sophisticated analytical and machine learning techniques
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

Benefits

Competitive base salaries
Flexible work arrangements and schedules with hybrid and virtual options with Amex Flex
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counselling support through our Healthy Minds program
Career development and training opportunities

Company

American Express

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American Express is a financial services company that provides credit cards, charge cards, payment solutions, and related services.

Funding

Current Stage
Public Company
Total Funding
unknown
1978-01-13IPO

Leadership Team

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Brett Mooney
CEO & Country Manager, American Express Canada
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Stephen J. Squeri
Chairman and CEO
Company data provided by crunchbase