Intern - Data Science/ AI and Data Engineering in Tax Administration
Inland Revenue Authority of Singapore (IRAS) Intern - Data Science/ AI and Data Engineering in Tax Administration
Summary
6-month internship (Jan–May/Jun 2027) at Singapore's tax authority, working on 1–2 application/model development projects and data engineering — gathering requirements from business users, building data pipelines, and presenting to management. Needs a foundation in software engineering, machine learning, or big data.
At IRAS, we aim to be a leading tax agency known for our efficient services, expertise and integrity. We are looking for committed team players to co-develop the next generation of ICT systems that improve how millions of taxpayers connect and interact with us. The interns will work on 1 to 2 application/model development projects, and/or data engineering work.
What The Role IsAt IRAS, we aim to be a leading tax agency known for our efficient services, expertise and integrity. We are looking for committed team players to co-develop the next generation of ICT systems that improve how millions of taxpayers connect and interact with us. The interns will work on 1 to 2 application/model development projects, and/or data engineering work.
What You Will Be Working On- The interns will be given opportunities to: Understand the landscape of data science and AI in IRAS Engage business users to understand their needs and requirements
- Develop/enhance applications/models based on user requirements
- Build data pipelines to meet users/applications needs
- Present their projects at key management meetings
- By the end of the internship, interns will have developed:
- A comprehensive understanding of application development / machine learning lifecycle, including requirements gathering, design, implementation, testing, deployment, and maintenance.
- Hands-on experience in stakeholder management, learning how to bridge communication between technical terms and business users to deliver impactful solutions.
- The ability to translate complex business problems into software/model/data solutions that align with organisational objectives.
- Practical skills in modern data engineering techniques and tools to build robust and scalable data infrastructures.
- Confidence in presenting technical work and progrss to key stakeholders and leadership, enhancing professional communication skills.
- Strong foundation in software engineering and/or machine learning and/or big data technologies, demonstrated through coursework, projects, or prior experience.
- Excellent written and verbal communication skills
- Good self-management skills, including an ability to be self-directed to meet project deadlines
Internship Duration: 6 months (Jan - May/Jun 2027)