Campus Graduate - 2021 EDA/CFR Data Science Summer Internship

Job Description

Become part of the digital transformation and help revolutionize the financial services industry. 


At American Express, we provide customers with access to products, insights and experiences that enrich lives and build business success.  Our customers include our Cardmembers as well as the small businesses, merchants, corporations, and bank partners that are all members of the dynamic American Express network.


As a Data Science colleague, you have the opportunity to make your mark on technology and life at American Express. You’ll be challenged everyday as we work together to create digital products and develop actionable data-driven insights to meet the customers of tomorrow. It is an exciting opportunity for someone who wants to help shape digital experiences for one of the world’s top brands.


Where are these roles located within American Express?


Data Science colleagues will serve as a key member of teams in the Credit and Fraud Risk and Enterprise Digital & Analytics organizations. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.


Enterprise & Digital Analytics:

An exciting opportunity for someone who wants to help shape, refine and build, Prospect and Customer digital connections, experiences and interactions through advanced statistical techniques, AI, and machine learning. Enterprise Digital and Analytics team charter is to be an engine of growth, marketplace differentiation and efficiency for American Express.


Big Data Labs:

Develop Big Data capabilities, tools and techniques to enhance Credit and Fraud Risk, and Information Management functions.

Credit and Fraud Risk:

This critical team is responsible for managing enterprise risks throughout the customer lifecycle, across our consumer and commercial businesses, and across all our global products. We develop industry-first data capabilities, build profitable decision-making frameworks, create machine learning-powered predictive models, and improve customer servicing strategies.


Decision Science roles in these teams:

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and valid predictive model(s) and support the use of models in economic logic to enable profitable decisions across risk, fraud and marketing.


What type of work can you expect to do in Data Science at American Express?

The specific job responsibilities would depend on the team you are selected in for a summer internship role. Broadly the role could entail some of the below listed responsibilities:


We have the know-how, creative platform and global reach to make nearly any idea a reality. Do these describe you?

Minimum Qualifications


  • Passion for improving end-to-end customer experience, innovation and customer first thinking
  • Strong interest in analytics, data mining space and ability to collaborate with technology and product partners
  • Independent thinker who’s organized, has great attention to detail, and can multi-task
  • Ability to blend big picture thinking with fine details and manage many stakeholders
  • Strong analytical, problem-solving/quantitative skills
  • Willing to take risks, experiment, and share fresh perspectives
  • Proficient in presentation tools, including Excel and PowerPoint
  • Excellent written and verbal communication skills
  • Ability to handle large datasets using SAS, SQL, R, Python or another similar programming language
Educational Requirements
  • Advanced Degree (i.e. MS or PhD) in a quantitative field such as Economics, Statistics, Mathematics, Operations Research, Engineering, Computer Science
  • Currently enrolled in full-time Graduate degree or PhD program - Students must have a graduation date between December 2021 and June 2022

Why American Express?
There’s a difference between having a job and making a difference.
American Express has been making a difference in people’s lives for over 160 years, backing them in moments big and small, granting access, tools, and resources to take on their biggest challenges and reap the greatest rewards.
We’ve also made a difference in the lives of our people, providing a culture of learning and collaboration, and helping them with what they need to succeed and thrive. We have their backs as they grow their skills, conquer new challenges, or even take time to spend with their family or community. And when they’re ready to take on a new career path, we’re right there with them, giving them the guidance and momentum into the best future they envision.
Because we believe that the best way to back our customers is to back our people.
The powerful backing of American Express.
Don’t make a difference without it.
Don’t live life without it.
Learn more about our Digital groups at American Express by visiting

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 by April 30th. (Note: Edit the deadline as needed)

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.


Tags: US reqs – MBA/MS, UNV-12520, CFE-11160, CFE-12801
ReqID: 20006760
Schedule (Full-Time/Part-Time): Full-time
Date Posted: Oct 14, 2020, 4:32:42 PM

EEO Statement

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.