EY Data Scientist Interview Guide

Overview

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

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

EY Data Scientist Salary

$128,909

Average Base Salary

$106,681

Average Total Compensation

Min: $83K
Max: $208K
Base Salary
Median: $117K
Mean (Average): $129K
Data points: 11
Min: $2K
Max: $223K
Total Compensation
Median: $104K
Mean (Average): $107K
Data points: 11

View the full Data Scientist at Ey salary guide

Cultural and Behavioral Questions

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Can you describe a significant challenge you faced in a previous project, how you addressed it, and what the outcome was? Please provide specific details that demonstrate your problem-solving and analytical skills.

When discussing a significant challenge, be sure to outline the context clearly. For instance, I once faced a scenario where the dataset I was working with was incomplete, leading to potential inaccuracies in the analysis. To tackle this, I first communicated with stakeholders to understand the implications of the missing data. I then devised a strategy to use data imputation techniques and integrated feedback loops to improve the quality of the data collection processes. As a result, we not only completed the project on time but also established new protocols for future data collection, which improved accuracy by over 30%.

Can you provide an example of a successful team project you were part of? What role did you play, and how did you ensure effective collaboration with your team members?

In discussing teamwork, emphasize the importance of collaboration. For instance, I was part of a multidisciplinary team tasked with developing a predictive model for client analysis. My role was to lead the data preprocessing phase. I set regular check-ins to ensure alignment with other team members, facilitated brainstorming sessions to integrate different perspectives, and used collaborative tools for transparency. Ultimately, our cohesive effort led to a model that exceeded the client’s expectations, highlighting the power of teamwork in achieving our goals.

Describe a situation where you had to resolve a conflict or disagreement within your team. What steps did you take to ensure a positive outcome?

When narrating a conflict resolution, detail the situation. For instance, during a project, two team members had differing views on the analytical approach to take. I facilitated a meeting where both could present their viewpoints backed by data. We then collaboratively evaluated the pros and cons of each approach. This not only resolved the conflict but also led to a hybrid model that combined the strengths of both perspectives, showcasing my ability to mediate and promote constructive dialogue.

EY Data Scientist Interview Process

Typically, interviews at EY 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.

EY Data Scientist Interview Questions

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

Question
Topics
Difficulty
Ask Chance
Machine Learning
Hard
Very High
Python
R
Algorithms
Easy
Very High

View all Ey Data Scientist questions

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