McKinsey 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

$131,801

Average Base Salary

$156,645

Average Total Compensation

Min: $84K
Max: $199K
Base Salary
Median: $132K
Mean (Average): $132K
Data points: 43
Min: $84K
Max: $206K
Total Compensation
Median: $164K
Mean (Average): $157K
Data points: 25

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
Very High
Machine Learning
Hard
High

View all Mckinsey & Company Data Scientist questions

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