Data Science Frontend Intern — Hybrid (React/TS)

NLB; Singapore; Hybrid; SGD 13,000 - 20,000; Full time

Benefits offered by this job

Hybrid work model

Formal & informal training

Annual leave

Medical benefits

Job summary

Central Provident Fund Board (CPF Board) invites a Software Developer Intern to join the Data Science Accelerator team from January 2027 to June 2027. You will build data-focused web applications, dashboards, and data interfaces using HTML, CSS, JavaScript, React/TypeScript, and connect to data APIs.

The role emphasizes collaboration with data scientists, delivering user-friendly tools for policy makers, ensuring performance on large datasets, and working in a hybrid Singapore office with

Qualifications

• Pursuing degree in information systems, CS, or related field.
• Familiarity with front-end tech: HTML, CSS, JS, React/TypeScript.
• Basic understanding of Node.js, Python, SQL, Docker.

Responsibilities

• Develop data-focused web applications: dashboards and visualisation tools using HTML, CSS, JavaScript, and React/TypeScript.
• Support data science workflows: create user-friendly interfaces for data science models and analytics tools.
• Build data integration components: connect to data APIs and databases for seamless data flow.
• Collaborate on full-stack solutions: translate data insights into intuitive web interfaces for policy decisions.
• Ensure quality and performance: test and debug apps, handle large datasets, ensure cross-browser compatibility.

Skills

HTML/CSS/JS

React/TypeScript

Problem solving

Independent work

Education

Pursuing degree in IS/CS/EE

Tools

Docker

APIs

Job description

Central Provident Fund Board (CPF Board) invites a Software Developer Intern to join the Data Science Accelerator team from January 2027 to June 2027. You will build data-focused web applications, dashboards, and data interfaces using HTML, CSS, JavaScript, React/TypeScript, and connect to data APIs.

The role emphasizes collaboration with data scientists, delivering user-friendly tools for policy makers, ensuring performance on large datasets, and working in a hybrid Singapore office with