EY Data Scientist Interview Questions (2026)

Landing a Data Scientist role at EY requires targeted preparation. EY interviews combine competency-based behavioral questions with technical assessments. Audit roles test accounting and analytical skills. Consulting and advisory roles include case studies. Technology roles feature coding assessments and architecture discussions. EY values diverse perspectives, curiosity, and building long-term client relationships. This guide covers the most frequently asked questions and insider tips to help you succeed in your EY Data Scientist interview.

About the EY Interview Process

EY interviews evaluate analytical skills, entrepreneurial thinking, and passion for building a better working world through professional services.

EY interviews combine competency-based behavioral questions with technical assessments. Audit roles test accounting and analytical skills. Consulting and advisory roles include case studies. Technology roles feature coding assessments and architecture discussions. EY values diverse perspectives, curiosity, and building long-term client relationships.

Why EY Data Scientist Interviews Are Different

EY Data Scientist interviews differ from standard Data Scientist interviews in several key ways. The company has a unique interview culture, specific evaluation criteria, and expects candidates to demonstrate alignment with their values and mission. Understanding these differences gives you a significant advantage over other candidates.

Top 10 Data Scientist Interview Questions at EY

1. Expect this at EY: Explain the bias-variance tradeoff.
2. EY candidates should prepare for: How do you handle missing data in a dataset?
3. EY candidates should prepare for: What is the difference between supervised and unsupervised learning?
4. EY interviewers often ask: Describe the steps you take in a typical data science project.
5. A common EY interview question: How do you evaluate the performance of a classification model?
6. A common EY interview question: Explain regularization and when you would use it.
7. EY interviewers often ask: What is cross-validation and why is it important?
8. Expect this at EY: How do you communicate complex findings to non-technical stakeholders?
9. At EY, you might be asked: Describe a project where your analysis led to a significant business decision.
10. A common EY interview question: What is the difference between correlation and causation?

EY-Specific Preparation Tips for Data Scientist Candidates

• Prepare for competency-based interviews using the STAR method
• Study EY service lines including Assurance, Tax, Strategy, and Technology
• Practice case studies for consulting and advisory roles
• Show entrepreneurial thinking and examples of driving innovation
• Research how EY approaches topics like sustainability, digital transformation, and trust

General Data Scientist Interview Tips

• Brush up on statistics and probability fundamentals
• Practice coding in Python or R with real datasets
• Prepare to explain complex models in simple terms
• Have portfolio projects that demonstrate end-to-end data science work

Preparation Timeline for EY Data Scientist Interviews

• 4 weeks before: Research EY culture, recent news, and the specific team you are applying to.
• 2-3 weeks before: Practice technical questions daily and prepare behavioral stories using the STAR method.
• 1 week before: Do full mock interviews with HireFlow AI simulating EY interview style.
• Day before: Review your notes, prepare questions for the interviewer, and get a good night of rest.

Practice EY Data Scientist Interview with HireFlow AI — our AI adapts to EY's interview style and gives real-time feedback.