Data & AI Consulting Intern — Analytics & Innovation

EY; Singapore; On-site; SGD 22,000 - 27,000; Full time

Job summary

EY’s Data & AI team collaborates with clients to lead data analysis engagements, delivering solutions across data quality, governance, analytics, BI, and data management. The role involves contributing to analytics work within multi-disciplinary teams and ensuring high-quality client outputs in dynamic environments.

The position targets students pursuing quantitative degrees with exposure to ML, Python/SQL, and cloud/ETL tools, and requires strong English communication.

Qualifications

• Pursuing a degree in quantitative fields such as Computing, Engineering, Analytics, Statistics, Applied Mathematics, ML, OR, or related fields.
• Familiar with machine learning techniques.
• Good understanding of data structures and data transformation methods.
• Proficiency in Python and/or R and familiarity with SQL.
• Strong attention to detail and ability to multitask.
• Excellent written and spoken English.
• Familiarity with cloud technologies, DevOps, ETL tools, ML frameworks, visualization software.

Responsibilities

• Contribute technically to analytics projects and deliver high-quality work products
• Work effectively as a team member, sharing responsibility, maintaining communication, and updating senior team members on progress
• Demonstrate in-depth technical capabilities and professional knowledge; assimilate new knowledge and apply business acumen
• Help prepare reports or proposals that will be delivered to clients and other parties

Skills

Python

SQL

Machine learning

Data analytics

Data visualization

English proficiency

Attention to detail

Education

Quantitative degree

Tools

Unix shell scripting

ETL tools

Visualization software

Job description

EY’s Data & AI team collaborates with clients to lead data analysis engagements, delivering solutions across data quality, governance, analytics, BI, and data management. The role involves contributing to analytics work within multi-disciplinary teams and ensuring high-quality client outputs in dynamic environments.

The position targets students pursuing quantitative degrees with exposure to ML, Python/SQL, and cloud/ETL tools, and requires strong English communication.