What you will be working on
The Data Science Accelerator Department (DSA) drives the pervasive use of data across CPF Board to aid policy and operational decision making by providing a consolidated view of good quality data, effective governance, strong data science capabilities and modern data infrastructure and tools.
As a Software Developer Intern within our Data Science Accelerator team, you will contribute to building digital solutions that support CPF's data-driven decision making and policy development.
In this role, you will:
- Develop data-focused web applications by building and enhancing interactive dashboards and visualisation tools using HTML, CSS, JavaScript, and React/TypeScript to help policy makers and analysts explore CPF data insights.
- Support data science workflows by creating user-friendly interfaces for data science models and analytics tools, enabling non-technical stakeholders to access and interpret complex data findings.
- Build data integration components by developing front-end components that connect to data APIs and databases, ensuring seamless data flow between our analytics platforms and user-facing applications.
- Collaborate on full-stack solutions by working alongside data scientists and analysts to understand requirements and translate data insights into intuitive web interfaces that support policy and operational decisions.
- Ensure quality and performance by conducting testing and debugging of applications, with particular focus on handling large datasets efficiently and ensuring cross-browser compatibility for government users.
What we are looking for
We value the diverse skills and perspectives that each intern brings. While you may not need to meet every requirement fully, having some familiarity or budding expertise in the following areas will help you make the most of this opportunity and succeed with our team.
- Currently pursuing a Degree in Information Systems, Computer Science, Computer Engineering or a related field.
- Familiarity with front-end technologies including HTML, CSS, JavaScript, and React/TypeScript frameworks.
- Basic understanding of back-end technologies such as Node.js and Python.
- Familiarity with database management systems and SQL.
- Exposure to containerisation tools like Docker.
- Experience with agentic coding tools and AI-assisted development environments would be advantageous.
- Interested in developing problem-solving skills and a logical approach to troubleshooting technical issues.
- Able to explain technical ideas in a simple way.
- Approaches problems with a flexible mindset and adjusts when project needs change.
- Works well independently and with others, takes initiative without needing constant supervision.
Position is on a full-time internship basis from May 2026 to December 2026.