DUMMY TEXT
For upcoming STACK webinars and a full list of our past events, please visit our Meetup page.
Overview
At GovTech Singapore’s Data Practice, we're redefining how nations scale trusted data and AI. If you're passionate about shaping the future of public sector technology, we invite you to join us on this journey.
In this edition of STACK Meetup, GovTech's Data Practice team is opening our doors to data practitioners who want to shape how data and AI are deployed, validated, and scaled across the SG Gov. Whether you're hardening guardrails for multimodal models or building adaptive data infrastructure, your work will become the Golden Path for the public sector. Form the digital backbone of Singapore with us!
We're looking for Data Scientists and Data Engineers who are ready for this challenge. Ready to shape the future with GovTech? Snag your slot today!
Who should attend: Data practitioners who want to work with GovTech on deep technical problems with real-world constraints and help position Singapore at the apex of trusted data and AI globally.
Programme rundown
6:45pm – Join Zoom Meeting Room
7:00pm – Introduction by STACK Community
7:05pm – Opening
By Yap Ghim Eng, Head of Data Practice, GovTech Singapore
7:15pm – Recruitment Segment #1:Who Are We Looking For? Data Engineers and Scientists for Effective Data Innovation
By Melissa Yeo, Assistant Director, Data Practice, GovTech Singapore
7:30pm - Recruitment Segment #2: Keen to join us? Learn all about GovTech’s hiring process!
GovTech Talent Acquisition
7:45pm - Ask-Me-Anything: Discover GovTech Data Practice’s culture x Hear from GovTechies
Hosted by Melissa Yeo, Assistant Director, Data Practice, GovTech Singapore
feat. Janice Ng, Staff Data Engineer & Binayak Dasgupta, Data Engineer, Data Practice, GovTech Singapore
8:00pm - End of STACK Meetup
Last updated 25 May 2026
Thanks for letting us know that this page is useful for you!
If you've got a moment, please tell us what we did right so that we can do more of it.
Did this page help you? - No
Thanks for letting us know that this page still needs work to be done.
If you've got a moment, please tell us how we can make this page better.