McKinsey Data Scientist Interview GuideMcKinsey Data Scientist Interview Guide

Overview

Getting ready for an Data Scientist interview at McKinsey? The McKinsey Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:

  • Know what skills are necessary for McKinsey Data Scientist roles.
  • Gain insights into the Data Scientist interview process at McKinsey.
  • Practice real McKinsey Data Scientist interview questions.

Interview Query regularly analyzes interview experience data, and we’ve used that data to produce this guide, with sample interview questions and an overview of the McKinsey Data Scientist interview.

McKinsey Data Scientist Salary

$126,395

Average Base Salary

$147,768

Average Total Compensation

Min: $83K
Max: $187K
Base Salary
Median: $125K
Mean (Average): $126K
Data points: 39
Min: $80K
Max: $200K
Total Compensation
Median: $150K
Mean (Average): $148K
Data points: 21

View the full Data Scientist at Mckinsey & Company salary guide

McKinsey Data Scientist Interview Process

Typically, interviews at McKinsey vary by role and team, but commonly Data Scientist interviews follow a fairly standardized process across these question topics.

We’ve gathered this data from parsing thousands of interview experiences sourced from members.

McKinsey Data Scientist Interview Questions

Practice for the McKinsey Data Scientist interview with these recently asked interview questions.

Question
Topics
Difficulty
Ask Chance
Probability
Hard
Very High
Database Design
Easy
High
Machine Learning
ML System Design
Medium
High

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View all Mckinsey & Company Data Scientist questions

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