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Deloitte Data Scientist Interview
Questions & Process

What 90 candidates said about the rounds, the
questions and how long the wait really is.

From 90 candidate reports · FREE TO READ

2Rounds average
29Day average
AverageTypical difficulty
54.4%Positive experience

Questions candidates reported

Quoted word for word from Deloitte interview reports.

Engineering accounts for 10,860 of 90 reports, so company-wide questions may lean toward that function. Pick your role above for questions from your own loop.

Formats, difficulty and experience

Across all 90 Deloitte interview reports.

Question formats

Technical36.4%
Behavioral33%
Other16.3%
Case6.2%
Coding5.7%

Interview difficulty

Easy16.7%
Average62.2%
Difficult21.1%

Candidate experience

Positive54.4%
Neutral28.9%
Negative16.7%

Reports by job function

Engineering10,860
Operations1,308
Product1,188
Sales1,054
Other762
Marketing542

The interview process

Described in candidates’ own words.

There was an OA first that had 4 questions for an hour with python and machine learning fundamentals. Then the short listed candidates had interview rounds where they were mainly evaluated on their projects and ML and DL concepts.Candidate-reported process
The interview begins by checking your project skills and pushes for deep explanation of your past work, then adds some SQL questions at the end. If you can’t match the interviewer knowledge, then most probably rejection is on the way.Candidate-reported process
1. Tell me about yourself and briefly explain the project 2. Self Attention 3. Rag Architecture 4. Cloud questions about the AWS deployment process. 5. Async and Multithreading 6. Vector database question 7. Transformers ArchitectureCandidate-reported process
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