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Itaú Unibanco Data Scientist Interview Questions
& Process

Real candidates share what happened, how many rounds they had,
and how the experience turned out.

Based on 30 interview experiences · FREE TO READ

2.7 Rounds average
Average Typical difficulty
53.3% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Itaú Unibanco.

Showing 3 of 30
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Itaú Unibanco

Data Scientist

Analytics · more than a year ago

Mid Average Negative experience No offer 3 rounds
Interview process
Recruiter call Take home Technical screen
Interview formats
Behavioral Technical Coding

The interview started with a team chat where they talked about my background and the job's challenges. I passed that. Then came an online test based on a syllabus they provided. I studied for it, and the coding questions were mostly solvable with SK-Learn, though some were confusing with multiple correct answers. I passed that too. The next part was a Q&A interview that turned out to be a nightmare. Three interviewers, one woman who was really mean and arrogant, another nice guy, and a third who just typed the whole time. The woman told me I couldn't look at anything and that not knowing an answer wouldn't mean failing. Her questions were hard to understand, and the nice guy had to help clarify. She interrupted me rudely when I was answering. She got upset when I explained that 100% accuracy in fraud detection is impossible due to overfitting and that we'd need to define false positive/negative rates with the business team. The interview ran over by 30 minutes. I failed and was told I couldn't explain linear regression or understand models, despite being a lecturer and having a master's in DS. It felt like she would fail anyone she didn't like. This process felt unethical and biased.

Confirmed questions7 questions
  • What are your salary expectations?
  • Could you explain how cross-validation functions?
  • Regarding random forests, why is the random state significant?
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Itaú Unibanco

Data Scientist

Analytics

Senior Easy Negative experience No offer 1 round
Interview process
Recruiter call
Interview formats
Behavioral

A recruiter reached out via message to schedule an interview for the Customer Support team. I first checked if the position was strictly for a senior role or if it could extend to higher levels like Tech Lead or Specialist. After waiting a week, the recruiter clarified that while the position was specifically for a Senior Data Scientist, I could potentially function as a Tech Lead within that Senior role. This was confusing, so I asked for clarification. The recruiter explained that in some roles, an individual leads the team technically, contributes to architectural decisions, and supports the team, but their formal title remains Senior. I found this suggestion peculiar, as it seemed like a potential trap: either I'd be paid as a Senior but perform more duties than allowed by labor laws, or I'd be paid as a Tech Lead but hold a Senior title. Since both scenarios sounded odd, I inquired about the salary range for the position but received no response. Subsequently, I got an email stating I was eliminated from a process I hadn't even confirmed participation in.

Confirmed questions0 questions

No confirmed questions were included in this interview report.

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Itaú Unibanco

Data Scientist

Analytics

Mid Difficult Positive experience Decline offer 5 rounds
Interview process
Technical screen Take home Technical screen Recruiter call Offer
Interview formats
Technical Coding Behavioral

It started with an online quiz that was mostly about my academic background. Then, I had an online practical exam that included regression, clustering, and classification models using synthetic data, along with theoretical questions. After that, a technical interviewer discussed my exam answers, asking for details on my process and offering suggestions. This was followed by a video call with the hiring managers to get to know me better. Finally, I received a job offer.

Confirmed questions1 question
  • How can one assess the adequacy of a clustering model?

Itaú Unibanco Data Scientist Interview Questions

Quoted word for word from Itaú Unibanco interview reports.

Regarding random forests, why is the random state significant?

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Which normalization - L1 or L2 - is more suitable for feature elimination?

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How would you determine acceptable false positive and false negative rates for fraud detection?

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If the business team asked for a fraud detection model with perfect accuracy, what would be your approach?

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Formats, difficulty and experience

Across all 30 Itaú Unibanco interview reports.

Interview formats

Technical 35.7%
Behavioral 31.4%
Coding 15.7%
Presentation 7.1%
Group 5.7%

Interview difficulty

Easy 10%
Average 66.7%
Difficult 23.3%

Candidate experience

Positive 53.3%
Negative 13.3%
Neutral 33.3%