American Express Data Science Intern interview questions
based on 7 ratings - Updated Aug 16, 2025
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Data Science Intern applicants have rated the interview process at American Express with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 79.3% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Science Intern roles take an average of 1 day to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at American Express overall takes an average of 21 days.
Common stages of the interview process at American Express as a Data Science Intern according to 1 Glassdoor interviews include:
One on one interview: 50%
Skills test: 50%
Here are the most commonly searched roles for interview reports -
They asked Case Studies on what parameters could be used for Machine Learning model, there were three rounds but in further rounds they asked theoretical Machine Learning based case studies.
Interview questions [1]
Question 1
How to figure out whether a transaction is fraudulent?
How to predict whether a customer will call us in near future for any query?
I applied through college or university. The process took 5 days. I interviewed at American Express (Kānpur, Uttar Pradesh) in Aug 2025
Interview
2 rounds : Round 1 was talk about the ml models on my resume(went deep into their theory) and couple of case studies centered around amex's business model. Round 2 was case studies again and questions like why amex? both rounds were a mix of technical and hr.Would suggest strongly brushing up one's knowledge of credit cards and amex's revenue streams
I applied through college or university. The process took 1 day. I interviewed at American Express (Chennai) in Jul 2021
Interview
Interviewer was interested in what I had done before. Interview was low stress. Questions were straightforward (past projects, puzzles) and not very challenging. The interviewer described the role and we had a long discussion about what aspects of it I found interesting and why they thought I was a good fit.
Interview questions [1]
Question 1
1. Explanation of my deep learning project (architecture, challenges faced)
2. 2 Puzzles from standard puzzle books
3. Discussion about the role