Data & Analytics Consultant
@ EY

Seoul, South Korea
₩0
On Site
Full Time
Posted 1 day ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXXX XXXXXXXXXXX XXXXXXXX******* @ey.com
Recommended after applying

Job Details

About the Role

EY is seeking an experienced Data & Analytics Consultant to join its Consulting Division. You will contribute to a global culture of support, inclusivity, and innovative technology, and help shape a better workplace.

Responsibilities

  • Develop data preprocessing pipelines using SQL, Python, and ETL tools.
  • Build AI pipelines and implement DL/ML algorithms along with AI Ops.
  • Formulate and execute strategies in AI and Data including diagnosis and improvement suggestions.

Qualifications & Preferences

  • Bachelor's degree from a four-year university or higher.
  • 2 to 15 years of relevant experience in data processing and predictive model development.
  • Experience in SQL, Python, ML/DL, statistics and using Pytorch for deep learning.
  • Preferred backgrounds include Data Science, AI, Statistics, Computer Science, Industrial Engineering, or Mathematics.
  • Additional skills in Excel, PowerPoint, and specific domain experience in manufacturing/finance are a plus.

Selection Process

  • Document screening and online personality test
  • Practical and executive interviews

Additional Information

  • Application Deadline: October 13, 2025
  • Location: Seoul Yeoui-do office or project site
  • Employment Type: Full-time (Regular)
  • Compensation: As per company policy
  • Contact: Recruiting@kr.ey.com

Key skills/competency

Data Processing, Python, SQL, ETL, Machine Learning, Deep Learning, AI Ops, Pytorch, Data Strategy, Analytics

Apply without a personalized resume

How to Get Hired at EY

🎯 Tips for Getting Hired

  • Customize Your Resume: Tailor it to highlight SQL, Python, and AI skills.
  • Research EY Culture: Understand the firm’s global values and projects.
  • Highlight Relevant Projects: Emphasize experience in data pipelines and ML.
  • Prepare for Technical Interviews: Practice coding and algorithm concepts.

📝 Interview Preparation Advice

Technical Preparation

Review SQL and Python coding exercises.
Practice ETL tool usage in projects.
Study DL/ML algorithm applications.
Gain hands-on experience with Pytorch.

Behavioral Questions

Describe a time-based project challenge.
Explain team conflict resolution strategies.
Discuss decision-making under pressure.
Demonstrate adaptability in a changing environment.

Frequently Asked Questions