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Data Scientist

Help define Singapore’s path to a Smart Nation by harnessing the power of data.

Last updated 2 June 2025

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Data Scientist
What you can expect to be doing
Join us if you have:
Hear from our tech talents
Data Scientist


Data Scientist

Digital insights and better discovery – driven by big data. Join us as a Data Scientist and play a key role defining Singapore’s next steps to be a Smart Nation.


What you can expect to be doing

  • Retrieve and analyse diverse datasets, assess data quality, and prepare for deeper, more advanced analysis

  • Apply statistical, algorithmic, mining and visualisation techniques on datasets and develop models of high technical quality

  • Develop machine learning prototypes and minimum viable products to evaluate viability of models

  • Maintain reproducibility and understanding of the modelling process via documentation and other means

  • Work with product owners, engineering teams, and industry partners throughout the product’s lifecycle

  • Participate in secure and agile software development processes and best practices, documentation of user requirements and software codes during the software development lifecycle

  • Perform technical assessment on the maturity, viability, and suitability of AI research, technologies and trends that are relevant to the industry

  • Set up environments conducive for analysing data, develop and document analysis scripts, summarising results and developing conclusions


Join us if you have:

  • Relevant qualification in Business Analytics, Data Analytics, Information Technology, Information Systems or IT equivalent OR have a postgraduate or PhD background in engineering, computer engineering, computer science, mathematics, statistics or equivalent

  • Good knowledge of statistical and data mining techniques, databases such as SQL/PL/SQL Query, and big data framework like Hadoop or Spark

  • Strong technical knowledge in AI, specifically in computer vision (CV), natural language processing (NLP), recommendation system and/or synthetic AI

  • Good understanding of the latest research and technologies in AI for production, including deployment to mobile handsets and IOT devices preferred

  • Strong coding experience in programming languages such as R, Python, C++

  • Hands-on experience with one or more deep learning frameworks, e.g. TensorFlow and Torch

  • Strong communication and interpersonal skills to collaborate with cross-functional, multidisciplinary teams


Hear from our tech talents

Jenny Zou

Using data for good

A conversation with Jenny Zou, a Data Scientist at IHiS (now Synapxe)

Eric Tan

Breaking new ground in AI

A conversation with Eric Tan, an AI Scientist at IMDA.