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McKinsey & Company Data Scientist Interview Questions and Answers

Updated 26 Sep 2024

McKinsey & Company Data Scientist Interview Experiences

1 interview found

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
6-8 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed before Sep 2023. There were 3 interview rounds.

Round 1 - Case Study 

Simple Data Science Case Study

Round 2 - Technical 

(1 Question)

  • Q1. Python knowledge related questions
Round 3 - Case Study 

Data Science Case Study

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Interview Questionnaire 

1 Question

  • Q1. What PCA, Decision tree and computer vision
  • Ans. 

    PCA is a dimensionality reduction technique, decision tree is a classification algorithm, and computer vision is a field of study focused on enabling computers to interpret and understand visual information.

    • PCA is used to reduce the number of variables in a dataset while retaining the most important information.

    • Decision trees are used to classify data based on a set of rules and conditions.

    • Computer vision involves usin...

  • Answered by AI

Skills evaluated in this interview

Interview Preparation Tips

Round: technical interview
Experience: There were 3 rounds, All related to statistics and machine learning and whatever stuffs I had mentioned in my resume. HR round was not there. The partner of the firm just briefed me a bit about the company and asked me to relax without asking any questions in the third round.

Tips: Interview will be fun if you are thorough about your resume and it will be a cakewalk to you.

General Tips: Do's :
1. Prepare for Aptitude very seriously. Puzzles are important but aptitude is must.
2. Be thorough about everything you had specified in your resume
3. Be honest while creating your resume (It helps a lot)

Don'ts :
1. Don't get broken if you are not getting selected in Day 1 or 2 or so.
2. Don't over-prepare for case interviews, they are fairly simple.



Final Tips :
Be confident about yourself. Your attitude in the interview matters a lot. And don't lie even a bit in your resume. Many got selected with a poor resume than those with huge exaggerations.

College Name: IIT Kanpur

I applied via Campus Placement and was interviewed before Sep 2020. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. Nothing much technical

Interview Preparation Tips

Interview preparation tips for other job seekers - 1. Go in formals
2. Fluency in English is important (depends on interview panel)
3. Clarity on what your talking about

Interview Questionnaire 

1 Question

  • Q1. Please tell me something about yourself.What is your experience? What are your goals and ambitions?Why We should hire you? Strengths and weaknesses etc.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed before Jun 2023. There were 3 interview rounds.

Round 1 - Case Study 

Marketing case study

Round 2 - Case Study 

Ops case study for plant set up

Round 3 - HR 

(1 Question)

  • Q1. Salary expectation
Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Coding Test 

Machine Learning, Metrics

Interview experience
5
Excellent
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Approached by Company and was interviewed in Oct 2024. There were 2 interview rounds.

Round 1 - Coding Test 

Combination logic on python

Round 2 - Technical 

(1 Question)

  • Q1. Explain classification
  • Ans. 

    Classification is a machine learning technique used to categorize data into different classes or categories based on past observations.

    • Classification involves training a model on labeled data to predict the class of new, unseen data points.

    • Common algorithms for classification include logistic regression, decision trees, support vector machines, and k-nearest neighbors.

    • Examples of classification tasks include spam email...

  • Answered by AI
Round 1 - Technical 

(1 Question)

  • Q1. Confusion Matrix, RoC curve

Interview Preparation Tips

Interview preparation tips for other job seekers - They just asked technical questions based on your job profile
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Job Portal and was interviewed before Jul 2023. There was 1 interview round.

Round 1 - Aptitude Test 

Simple aptitude test with mcqs. No stress

Interview Preparation Tips

Topics to prepare for Deloitte Data Scientist interview:
  • machine learning
  • data science
Interview preparation tips for other job seekers - Apply and don't be afraid
Contribute & help others!
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McKinsey & Company Interview FAQs

How many rounds are there in McKinsey & Company Data Scientist interview?
McKinsey & Company interview process usually has 3 rounds. The most common rounds in the McKinsey & Company interview process are Case Study and Technical.
How to prepare for McKinsey & Company Data Scientist interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at McKinsey & Company. The most common topics and skills that interviewers at McKinsey & Company expect are Analytical Chemistry, Data Analytics, Digital Marketing, Machine Learning and NoSQL.

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McKinsey & Company Data Scientist Interview Process

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Interview experience

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Excellent
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