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Data Science Intern 2027H1

Summary

Data Science intern at a Singapore deeptech startup building an AI code-generation platform powered by Graph Neural Networks; day-to-day work involves Python development, extending AI engines, and learning Knowledge Graph Data Science.

Overview

If you wish to work for an up-and-coming deeptech company, this could be your opportunity.

AgileAlgo stands for Agility-in-Algorithm. We seek to address the problem of insufficient data scientists and engineers to support AI work for small to large companies. We will harness deeptech in the space of Software Engineering.


We focus on Graph Neural Networks, a deeper form of Machine Learning, to develop our platform. We have created a natural language AI code generator that support self-serve AI to end customers. This allows our business to scale through the self-serve approach. Our platform is like a Jira + Github for AI Codes. It is fully integrated from written requirements to codes, generativeAI style. We envision to use AI to create AI, System to create System, to significantly improve the way software is being developed.


We are seeking internship candidates to join a like-minded highly talented team to create and operate our Virtual System Implementer Platform.

What we expect from you

For this role, the intern must be highly skilled in Python

  • You will pick up Knowledge Graph Data Science
  • It is advantageous to have understanding of other AI techniques including BigData Analytics, LLM and Computer Vision etc.
  • You will assist to create and extend the company’s platform and AI engines
  • You would have utilized established development tools, guidelines and conventions for your projects
  • Your coding always produced clean and testable outcomes and are well documented
  • You must be a quick learner to investigate and develop skills in new technologies

Your education and personal skills

  • Studying for a Bachelor’s Degree in Computer Science or Artificial Intelligence or a related field
  • Effective communication with non-technical audiences

Why now?

  • The time is ripe to disrupt the software engineering space. AI can help revolutionise this. We will lead the way.

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