Data Scientist applicants have rated the interview process at Wipro with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 33% positive. To compare, the company-average is 89.8% positive. This is according to Glassdoor user ratings.
Candidates applying for Data Scientist roles take an average of 8 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Wipro overall takes an average of 25 days.
Common stages of the interview process at Wipro as a Data Scientist according to 3 Glassdoor interviews include:
One on one interview: 40%
Presentation: 20%
Skills test: 20%
Group panel interview: 20%
Here are the most commonly searched roles for interview reports -
I applied through a recruiter. The process took 5 days. I interviewed at Wipro
Interview
1 hour technical interview. The interviewer was very nice, and willing to listen to my opinion. First I need to introduce myself and then there are couple of technical questions includeing python and SQL questions.
Interview questions [1]
Question 1
1. Tell me your self.
2. SQL and Python coding.
3. What are the differences between data profiling and data mining?
4. filter in tableau
5. Experience on time series data
6. Multiprocessing vs Threading Python
7. Data outliers' solution
8. difference between r-squared and adjusted r-squared.
9. What is exponential smoothing method
1st round was l1 round, focused on classical + generative ai + coding, coding asked 2 questions in python, generative ai end to end project explaination, and production how we do related to mlops. various questions in gen ai fundamentals . generative ai end to end use case and production how it worked
Interview questions [1]
Question 1
generative ai end to end use case and production how it worked
I applied online. I interviewed at Wipro (Bengaluru)
Interview
Total 3 round.
1 . Python coding
2.Technical
3. Functional
4 .HR round
All round around 45 minutes to 1 hr .
Python basic coding questions based on list , string, dictionary, matrix, sometime based on pattern.
Interview questions [1]
Question 1
Current project details from development to deployment.
Round 1 focuses on technical evaluation through Python, SQL, project discussion, and key AI/ML concepts to assess problem-solving and technical depth. Round 2 is the HR interview, covering communication skills, attitude, teamwork, motivation, and overall cultural fit for the organization