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

EY; Singapore; On-site; SGD 20,000 - 31,000; Full time

Job summary

EY is seeking a data and analytics intern to contribute to analytics projects, working with multi-disciplinary teams to deliver high-quality results. The role involves collaborating with client teams, applying data analytics, ML concepts, and building insights using Python, R, and SQL.

The internship requires a quantitative degree, and a proactive, detail-oriented mindset. Applicants should be able to commit a minimum of 4 months full-time from Dec 2026/Jan 2027; prior exposure to cloud and

Qualifications

• Pursuing a degree in quantitative fields such as Computing, Engineering, Analytics, Statistics, Applied Mathematics, Machine Learning, OR related fields.
• Familiar with machine learning techniques.
• Good understanding of data structures and data transformation methods.
• Proficient with Python and/or R, and SQL.

Responsibilities

• Contribute technically to analytics projects and deliver high-quality work products.
• Work effectively as a team member, sharing responsibility and updating senior team members on progress.
• Demonstrate deep technical capabilities and professional knowledge; assimilate new knowledge.
• Help prepare reports or proposals delivered to clients and other parties.

Skills

Python

R

SQL

Data Analytics

Machine Learning

Unix Shell

Education

Quantitative degree

Tools

ETL tools

Visualization software

Cloud platforms

DevOps tools

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.