Software Developer Intern - Hybrid (Jan 2027–Jun 2027)

CPF; Singapore; Híbrido; SGD 13.000 - 18.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Training opportunities

Descripción de la vacante

CPF invites you to join #TeamCPF as a Software Developer Intern in our Data Science Accelerator, contributing to data-driven decision making and policy development. You’ll build interactive dashboards and data interfaces that empower analysts and policymakers while learning modern front-end technologies.

You’ll collaborate with data scientists and developers to translate insights into practical tools, explore large datasets efficiently, and adapt to evolving project needs in a hybrid work

Formación

• Pursuing degree in IS, CS, CE, or related field.
• Familiar with HTML, CSS, JavaScript, and React/TypeScript.
• Basic understanding of Node.js, Python, and SQL.
• Exposure to containerisation tools like Docker is a plus.

Responsabilidades

• Develop data-focused web applications using HTML, CSS, JavaScript, and React/TypeScript.
• Support data science workflows with user-friendly interfaces.
• Build front-end components that connect to data APIs and databases.
• Collaborate with data scientists to translate insights into intuitive web interfaces.
• Ensure quality and performance with testing and cross-browser compatibility for government users.

Conocimientos

HTML

CSS

JavaScript

React

TypeScript

Node.js

Python

SQL

Docker

AI-assisted dev tools

problem solving

communication

independent work

Educación

Degree in Information Systems, Computer Science, Computer Engineering or related field

Herramientas

Docker

Descripción del empleo

CPF invites you to join #TeamCPF as a Software Developer Intern in our Data Science Accelerator, contributing to data-driven decision making and policy development. You’ll build interactive dashboards and data interfaces that empower analysts and policymakers while learning modern front-end technologies.

You’ll collaborate with data scientists and developers to translate insights into practical tools, explore large datasets efficiently, and adapt to evolving project needs in a hybrid work