Job Description
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[2026 H2 Term-time Internship] Data Science Intern
Posting Start Date:  17/03/2026
Job Category:  Internship
Job Family:  Data Analysis & Data Management

What the role is

What the role is
At #TeamCPF, you’re not just joining a team; you are embracing a culture of excellence, collaboration, and meaningful impact. You will play a pivotal role in empowering over 4 million members to secure their retirement, healthcare, housing needs and better navigate life’s uncertainties.

We thrive on sharp minds and insightful decisions. Your ability to analyse and think critically isn't just valued; it's essential. Every choice you make contributes to our collective success.

Collaboration is our way of life. We believe in the power of effective partnerships and seamless communications across teams. Together, we amplify each other’s strengths and achieve remarkable results.

Our learning never stops. We encourage your inquisitiveness and courage to embrace new challenges head-on. Your agility, readiness to challenge conventions, embrace of data-driven strategies, dedication to learning and applying new skills fuels our innovation and progress.

At the core of everything we do lies a genuine desire to make a difference. We serve our community and support each other with compassion, empathy, and unwavering dedications. Every action we take is guided by a deep sense of purpose and a commitment to those we serve.

Join us at #TeamCPF! Together, let's redefine possibilities and leave a legacy that echoes for generations.

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.

In this role, you will:

  • Communicate with stakeholders to understand challenges and designing data-driven and business-centric solutions.
  • Assist in data collection, preparation, processing, and exploration tasks.
  • Support the development, implementation, maintenance and/or enhancement of machine learning/AI models/Gen AI/automation solutions.
  • Design end-to-end automation workflows e.g. MLOps.
  • Conduct research on latest data science and AI trends.
  • Present findings and insights through data visualisations to technical and non-technical stakeholders.
  • Explore and experiment with vibe coding to assess their impact on development productivity, code quality, and integration to existing workflow.
  • Provide support for data-related activities.

What are we 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 Business Analytics, Artificial Intelligence, Information Technology, Computer Science, Statistics, Mathematics or a related field.
  • Familiar with analytics tools such as Python/R and BI tools such as PowerBI.
  • Good understanding with demonstrable project experience in data science, machine learning and large language models.
  • Openness to investigate and experiment existing vibe coding tools available in the market.
  • Meticulous, analytical, and resourceful.
  • Communicates clearly, both in speaking and writing.
  • Collaborative mindset and the ability to work effectively within a team.
  • Works well independently and with others, takes initiative without needing constant supervision.

Position is on a full-time internship basis from June 2026 to December 2026.

What you can expect

What you can expect
Being part of #TeamCPF means embarking on a challenging and rewarding career in a progressive workplace that values productivity and growth. Here’s what awaits you:

  • Opportunities to engage in a mix of formal and informal training, keeping your skills sharp in our ever-evolving technological landscape. 
  • Promotion opportunities based on your capability and on-the-job performance. 
  • A vibrant community of like-minded and friendly colleagues, where collaboration and creativity thrive. 
  • A hybrid work model that offers flexibility for remote work, subject to exigencies of service. 
  • Flexible dress code that empowers you to choose your appropriate outfit for the day. 
  • A comprehensive rewards package that includes annual leave, pro-family leave, medical and dental benefits, and access to recreational activities.
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