Campus Graduate II Summer Internship Program - 2027 Global Decision Science, Credit & Fraud Risk - New York, NY
Business Unit/Role Specific Information
Credit and Fraud Risk (CFR) is a global function, responsible for making the right credit and fraud risk decisions that uphold operational excellence, drive growth, and accelerate innovation across American Express. CFR combines technology and infrastructure with new computing techniques to make better risk decisions and provide real-time customer communications and fraud servicing.
How will you make an impact in this role?
The Data Science Intern will contribute to the development of predictive models and analytical solutions that inform key business decisions across credit, fraud, and marketing. By applying statistical, machine learning, and AI techniques to complex datasets, they will generate insights that enhance customer experience, strengthen risk management, and support innovation across the enterprise.
As an intern your responsibilities can include:
- Independently lead an analytical project or workstream from problem definition through recommendation and final presentation.
- Query, analyze, and derive insights from large and complex datasets using tools such as SQL, Hive, Python, and other analytical technologies.
- Build, test, and evaluate predictive models using machine learning, statistical techniques, and advanced analytical methods.
- Translate ambiguous business challenges into structured analytical approaches and actionable recommendations.
- Leverage large-scale data assets and/or develop GenAI-enabled solutions to address business challenges and improve decision-making.
- Partner directly with business stakeholders to understand objectives, align on solutions, and communicate key findings.
- Develop and present recommendations that drive business outcomes, exercising independent judgment and accountability throughout project execution.
Minimum Qualifications:
- Currently enrolled in a Graduate or PhD degree program with an expected graduation date between December 2027 and June 2028.
- Pursuing a Master’s PhD degree program in Computer Science, Statistics, Data Science, Mathematics, Artificial Intelligence, or a related quantitative field.
- 3+ years of professional experience in analytics, data science, quantitative research, machine learning, software engineering, or a related field.
- Demonstrated ability to independently manage analytical projects and deliver results with limited direction.
- Proficiency in Python and experience applying statistical, machine learning, or AI techniques to solve business or research problems.
- Experience working with large datasets using SQL, Hive, or similar technologies and/or developing GenAI, NLP, LLM, or AI-powered solutions.
- Strong analytical, communication, presentation, and problem-solving skills.
Preferred Qualifications
- Published research, patents, academic publications, conference presentations, or other significant analytical project work.
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
Our team will review completed applications on a rolling basis. We appreciate your patience while we consider your application and will be in contact with you.
Apply now!
In order for your application to be considered, please complete the below steps:
- Click on the link below and select “Apply”
- Create a new username and password
- Complete and submit your application
JOB LINK: https://careers.americanexpress.com/en/sites/CX_1/job/26013266
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. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our 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. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
- 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
For a full list of Team Amex benefits, visit out Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
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The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.