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EY NextWave Data Science Challenge

Deadline: 10 May 2019 (Closed)
Location: Hong Kong

Ernst & Young is inviting applications from FBE UG Students who will be graduating between 2020 to 2021 for its “NextWave Data Science Challenge” to be held from April to May 2019. Participants will be put into a challenge to analyze real-world problems through data and make findings that will help build a better working world.

 

You may refer to the eDM below or FLYER for details regarding the challenge. The competition platform is already open for registration HERE starting from early March. Interested students should sign up on the platform at any time. Submission of the challenge can be made from April 1 – May 10, 2019.

 

 

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Dear students,

EY’s NextWave Data Science Challenge is aimed at finding the next generation of data science superstars and you may be one of them!

For this global competition, you will need to use your data science and analytics techniques to analyze real-world problems through data and make findings that will help build a better working world.

By participating in the EY NextWave Data Science Challenge, you can hone your technical skills, develop new expertise and, if you do well, win an internship with EY and up to US$8,000. Third in Universum’s annual “World’s Most Attractive Employers” ranking, EY’s portfolio of clients includes some of the most recognized brands in the world. Winning students will be exposed to an environment where various data science techniques are constantly applied to solve some of the trickiest challenges faced by governments and organizations today.

Go to the challenge website ey.com/datasciencechallenge for more information. Registration opens March 1 and all the data required and details to complete the challenge will be available when the competition begins April 1. Entries will close on May 10.

 

Good luck!

Regards,
Ernst & Young Campus Recruitment Tea

 

 

Disclaimer:

  1. Our Faculty will not be responsible for any expenses incurred in this Competition.
  2. The data collected through the online application is solely administered by the organizer. The Faculty shall not be held liable in the case that disputes, loss or any other situations arise.