Intern - Technology Consulting, Data and Artificial Intelligence (Offcycle Jan - Jun 2027)

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

The Opportunity

The Data and Artificial Intelligence team works collaboratively with our clients to manage engagements and lead teams of data analysis resources in all aspects of design and delivery of information solutions - including Data Quality and Governance, Data Analytics, Business Intelligence, and Data Management.

The Opportunity

The Data and Artificial Intelligence team works collaboratively with our clients to manage engagements and lead teams of data analysis resources in all aspects of design and delivery of information solutions - including Data Quality and Governance, Data Analytics, Business Intelligence, and Data Management.

Data and Artificial Intelligence is integrated into all Consulting service offerings and assists clients to leverage data as an asset throughout its business processes. You'll enjoy working in multi-disciplinary teams and gaining valuable experience in various sectors and play a key role in ensuring high quality outputs and service to our clients.

Your Key Responsibilities

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

Skills And Attributes For Success

• Pursuing a degree in quantitative fields such as Computing, Engineering, Analytics, Statistics, Applied Mathematics, Machine Learning, Operation Research, Information Management or related fields
• Familiar with machine learning techniques
• Good understanding of various data structures, common methods and tools used for data transformation
• Proficiency with analytical programming languages such as Python and/or R, as well as familiarity with SQL
• Strong attention to details and ability to multi-task
• Excellent command of written and spoken English
• Familiarity with cloud technologies, DevOps tools, ETL tools, machine learning frameworks, visualization software, * Unix shell scripting are considered a plus.

Note

• You are required to upload your latest resume and academic transcripts together with your online application.
• Due to high volume of applications, only shortlisted candidates will be contacted.
• To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability-related adjustments or accommodations you may need.
• Applicants must be able to commit a minimum of 4 months (full-time) from Dec 2026/Jan 2027.