INTERNSHIP DETAILS

Intern, DAT

CompanyPublic Service Division
LocationSingapore
Work ModeOn Site
PostedNovember 6, 2026
Internship Information
Core Responsibilities
The intern will support cross-functional teams in data preparation, AI solution enablement, and project coordination within a government environment. Responsibilities include cleaning datasets, testing AI systems, and documenting project milestones to support digital transformation efforts.
Internship Type
full time
Company Size
4592
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
The Government Technology Agency of Singapore (GovTech) is the lead agency driving Singapore's Smart Nation initiative and public sector digital transformation. We harness the power of technology to make lives better for citizens, businesses, international audiences and the public service sector. Our mission: Engineering Digital Government, Making Lives Better. Our goal is to create a government that is "Digital to the Core, and Serves with Heart". We achieve this by using technology to create services that are easy, seamless and secure for people to use, and placing the needs of citizens and businesses at the centre of everything we do. As a digital government, our public officers are also able to continually upskill, adapt to new challenges and work more effectively across agencies as well as with citizens and businesses in Singapore.
About the Role

[What the role is]

Through this hands-on experience, interns will gain practical exposure to how data enables AI solutions in a government environment. You will work with cross functional teams to support data preparation, AI solution enablement, and coordination across AI initiatives, contributing to SLA’s and Whole of Government digital and AI transformation efforts.

[What you will be working on]

Business Understanding & AI Enablement

Support engagement with stakeholders to understand business and operational needs. Assist in translating business problems into AI use cases and data requirements. Document problem statements, assumptions, constraints, and intended outcomes.

Data Preparation & AI Support

Prepare, clean, and organise datasets for use in AI systems and workflows. Support data validation, quality checks, and issue identification. Assist in testing AI systems and services using prepared datasets. Document data-related considerations to support governance and auditability.

AI Engineering & Platform Support

Support AI tools, platforms, and cloud environments used for experimentation and deployment. Work with data pipelines and processes supporting AI development and operations. Assist in testing AI services, APIs, and system integrations.

Project Coordination & Documentation

Support tracking of tasks, deliverables, and milestones across AI initiatives. Coordinate inputs across data, engineering, and domain teams. Prepare documentation, summaries, and materials for project discussions and updates.

[What we are looking for]

  • Student pursuing studies in Computer Science, Data Science, Information Systems, Engineering, or related fields.
  • Comfortable working with Python and datasets
  • Interest in applying data and AI to real world business and public sector problems
  • Understanding of how data quality and readiness impact AI outcomes
  • Ability to communicate clearly and document work in a structured manner
  • Curious, proactive, and willing to engage with both technical and business teams
  • Responsible and mindful of data security, governance, and privacy considerations
  • Previous coursework, projects, or internships involving data, AI, or digital solutions
  • Adaptable and open to working across multiple workstreams
  • Positive mindset and willing to learn about complex organisational challenges
  • Adaptability and willingness to learn
  • Responsible and proactive
  • Able to commit full time from October 2026 to March 2027 / November 2026 to April 2027 / November 2026 to March 2027 for at least 3 to 6 months.
  • Please include your availability in your CV.
Key Skills
PythonData preparationData cleaningData validationAI solution enablementCloud environmentsData pipelinesAPI testingSystem integrationProject coordinationStakeholder engagementTechnical documentationData governanceData securityPrivacy compliance
Categories
Data & AnalyticsTechnologyGovernment & Public SectorSoftwareEngineering