campus placement process consisted of three main stages: an Online Assessment (OA), a Bot Round, and a final HR Round. This structure is a common model for high-volume recruitment drives at educational institutions.
Interview questions [1]
Question 1
Oa was completely aptitude and bot asks questions completely on your resume
I applied through college or university. I interviewed at Mu Sigma (Gwalior, Madhya Pradesh) in Jul 2026
Interview
It was very stastiscal focused and very diff type of questions which i have never seen before and focused on grammer , stastiscal and databases if you are from data science background then it's a advantage for you.
I applied through college or university. The process took 2 days. I interviewed at Mu Sigma (Hyderābād) in Nov 2025
Interview
It was easy. we have to go through four rounds
1. Online Assessment (Aptitude, SQL, Python, DBMS)
2. Bot Assessment (Technical) [mostly resume based]
3. Personal Interview round (Technical)
4. HR Interview (Technical/Behavioural)
Interview questions [2]
Question 1
Bot Round is regarding resume based totally. It asked me about my projects in depth.
Trainee Decision Scientist applicants have rated the interview process at Mu Sigma with 2.7 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 75% positive. To compare, the company-average is 68.5% positive. This is according to Glassdoor user ratings.
Candidates applying for Trainee Decision Scientist roles take an average of 3 days to get hired, when considering 15 user submitted interviews for this role. To compare, the hiring process at Mu Sigma overall takes an average of 6 days.
Common stages of the interview process at Mu Sigma as a Trainee Decision Scientist according to 15 Glassdoor interviews include:
IQ intelligence test: 23%
Group panel interview: 20%
One on one interview: 17%
Personality test: 14%
Skills test: 14%
Presentation: 9%
Other: 3%
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