Anheuser-Busch InBev Data Scientist interview questions
based on 27 ratings - Updated Aug 2, 2025
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Anheuser-Busch InBev interviews FAQs
Data Scientist applicants have rated the interview process at Anheuser-Busch InBev with 2.3 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 58.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 14 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Anheuser-Busch InBev overall takes an average of 41 days.
Common stages of the interview process at Anheuser-Busch InBev as a Data Scientist according to 3 Glassdoor interviews include:
Phone interview: 100%
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They asked me classical questions in ML such as regression, clustering. They also asked me about my Software engineering skills and asked me to solve a problem in SQL to obtain the counts of beers per brand
Interview questions [1]
Question 1
Describe the algorithm of the logistic regression and when to use it
I applied through college or university. I interviewed at Anheuser-Busch InBev (Chennai) in Jun 2022
Interview
Round 1 - online test (30 aptitude, 30 CS mcq, 1 coding ques)
Round 2 - Group Interview
Round 3 - Personal Interview
The process was easy but it was lagging as in we had the interview process a month after the online test was conducted. Confidence is the key to crack the interview. The interviewers were nice and cool.
Interview questions [1]
Question 1
GI: Discussion on the given topic, arrive at a solution for a problem statement.
PI: Asked about my DS project and behavioral questions. Approach towards a business problem.
I applied through a staffing agency. I interviewed at Anheuser-Busch InBev (Hyderābād) in Mar 2022
Interview
Round 1 was pre-screening, Got casual questions on Machine learning
In Round 2 i was asked to create a dataset and work on it using OOPS
In round 3 i was asked to create a OOPs system that mimics a CAR
I was pretty confident that i will get positive response, Sadly they rejected me in final round without giving a response, I am highly dissapointed with their bias
Interview questions [1]
Question 1
1) Types of regressions
2) Metrics to evaluate classification
3) OOPS r