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

Exclusive opportunity

Onsite

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

EY

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

Skills

SQL QueriesPythonRData AnalysisMachine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

21 August 2026

What they need


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.

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