Intern, DAT

Singapore Land Authority (SLA); Singapore; On-site; SGD 17,000 - 23,000; Full time

Job summary

Singapore Land Authority (SLA) is offering a hands-on internship to gain practical exposure to how data enables AI solutions in a government context. You will work with cross-functional teams on data preparation, AI solution enablement, and coordination across AI initiatives, contributing to SLA’s and Whole of Government digital and AI transformation efforts.

Ideal candidates are pursuing studies in CS/DS/IS/Engineering, proficient in Python and datasets, with an interest in applying data to

Qualifications

• Pursuing studies in CS/DS/IS/Engineering.
• Proficient with Python and datasets.
• Interest in applying data and AI to public sector problems.
• Understanding of data quality and governance considerations.
• Ability to document work clearly and concisely.
• Availability for 3–6 months between Oct 2026 and Apr 2027.

Responsibilities

• Assist in data preparation and AI enablement for government AI projects.
• Support AI tools, platforms, and cloud environments used for experimentation.
• Document progress, prepare materials for project discussions, and coordinate inputs across teams.

Skills

Python

Datasets

Data analysis

Communication

Education

Student pursuing CS/DS/IS/Engineering

Tools

Jupyter

Pandas

Job description

[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 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.