Due Date: February 9, 2019

Are you searching for a brand-new difficulty? Do you wish to resolve issues like an Information Researcher? Obtain the Shopee Singapore National Data Science Difficulty 2019 The style of the National Data Science Difficulty 2019 is Item Info Extraction in the Wild– a difficulty to extract informative understanding from big volumes of textual and visual information utilizing Artificial intelligence Analytics.

The goals of the National Data Science Difficulty (NDSC) are to:

  • Equip trainees and experts with necessary technical abilities and knowledge to prepare them for the digital and data-driven economy
  • Bring the tech neighborhood more detailed through interacting and understanding sharing
  • Supply an environment for the advancement of innovative originalities in Data Science
  • Through this competitors, they intend to display the universality and effectiveness of information in getting insights, hence enhancing Singapore’s focus on driving the digital economy and making use of huge information.


The Leading 3 groups and one of the most Imaginative Group from each classification will win appealing prize money!

  • Champ

    • SGD 3000
    • Full-time/internship chances in Shopee
    • Return ticket to check out Shopee Shenzhen Tech Centre
  • 1st Runner-up

    • SGD 2000
    • Full-time/internship chances in Shopee
  • second Runner-up

    • SGD 1000
    • Full-time/internship chances in Shopee
  • The Majority Of Imaginative Group

    • SGD 800
    • Full-time/internship chances in Shopee
  • All individuals will get a certificate of achievement at the end of the closing event just if their job has actually been sent effectively prior to the due date.


  • Open to trainees presently registered in junior colleges, polytechnics or universities in Singapore (consisting of exchange trainees) along with non-tech and tech experts operating in Singapore;-LRB- **************).
  • Staff Members of Sea Limited are not qualified to take part in the difficulty in the interest of fairness.


Click on this link to sign up

To learn more, see National Data Science Difficulty

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