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Intact Data Scientist Interview Questions
& Process

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

Based on 51 interview experiences · FREE TO READ

2.2 Rounds average
Average Typical difficulty
66.7% Positive experience

Candidate interview experiences

First-hand accounts from people who interviewed at Intact.

Showing 3 of 51
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Data Scientist Intern

Analytics · nearly a year ago

Intern Easy Positive experience Accept offer 3 rounds
Interview process
Take home Technical screen Onsite
Interview formats
Technical Behavioral

The interview process involved an online assessment on HackerRank, followed by a recorded online virtual interview that was mostly behavioral. Then, there was a 1-on-2 technical interview via MS Teams with two data scientists, and finally, a 1-on-1 interview with the data science manager.

Confirmed questions3 questions
  • Can you elaborate on the specifics of your most recent project?
  • What distinguishes Python lists from tuples?
  • Could you discuss a machine learning-related topic?
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Intact

Data Scientist

Analytics · a year ago

Mid Average Positive experience Accept offer 2 rounds
Interview process
Technical screen Panel Recruiter call Onsite Background check Offer
Interview formats
Technical Coding Behavioral

So there were like two interviews. The first one was a technical interview with a group of data scientists and a manager, and we really dove deep into a project I had done before, talking about the tech details and how I did it. They also threw in some modelling and coding questions. The second interview was more of a fit interview with the director.

Confirmed questions4 questions
  • Could you describe a data science project you previously worked on?
  • Can you elaborate on the technical aspects and methodology of a past data science project you handled?
  • Tell me about the modeling techniques employed in your previous project.
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Data Scientist

Analytics · more than a year ago

Entry Easy Neutral experience No offer 3 rounds
Interview process
Take home Recruiter call Onsite
Interview formats
Technical Behavioral Other

Submitted my application on Day 0. On Day 6, there was an online multiple-choice test, which was pretty easy, just like a typical exam. Then, on Day 16, I had an online HR video interview, which was automated where I had to answer pre-set questions within a time limit, and no retakes were allowed. Finally, on Day 36, I had an in-person onsite interview. There were 3 interviewers, and they asked standard questions. It seems like they are hiring for this role all year round.

Confirmed questions1 question
  • Can you explain the difference between a random forest and a gradient boosted decision tree?

Intact Data Scientist Interview Questions

Quoted word for word from Intact interview reports.

Can you explain the difference between a random forest and a gradient boosted decision tree?

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Here's a brain teaser: how would you estimate the number of fish in a large pond?

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How would you use Python Pandas to manipulate a specific table about cars?

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How would you use data science to determine insurance prices for various users?

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Can you answer basic Python questions, like the difference between a tuple and a list?

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How would you explain a machine learning model to someone who is new to the field?

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Can you select a machine learning algorithm and explain its workings?

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Which data science technology do you believe will be world-changing, and in what area?

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How do you stay current with advancements in the data science field?

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Formats, difficulty and experience

Across all 51 Intact interview reports.

Interview formats

Technical 37.9%
Behavioral 28.2%
Coding 26.6%
Case 4%
Group 1.6%

Interview difficulty

Easy 23.5%
Average 60.8%
Difficult 15.7%

Candidate experience

Positive 66.7%
Neutral 21.6%
Negative 11.8%