PwC launches first Data Analytics competition 

Data-lympics foster culture of innovation and nurture future talent for Hong Kong 

Hong Kong, 28 January 2019 –PwC today launches its first big data competition in Hong Kong: Data-lympics 2019. Themed ‘Human and Machine’, the 2-day event will see over a hundred young aspiring data scientists competing head-to-head in data analytics challenges about machine learning and artificial intelligence.

With the rise of big data and automation in today’s commercial landscape, data analytics is increasingly seen as one of the top skills for the future workforce. According to PwC’s latest Annual Global CEO Survey, 54% of business leaders around the world point to the lack of analytical talent as the primary reason behind the information gap hindering their ability to make key decisions about long-term success for their business.

“Data-lympics offers an ideal platform for students interested in pursuing a career in data science to gain new insights, while testing their skills at translating data into actionable and useful insight through practical challenges. By inspiring a data-driven mindset among young students and grooming our next generation of digital talents, we aim to foster a culture of innovation and advocate the wider adoption of data analytics in businesses over the longer run,” says Jennifer Ho, Global Risk Assurance Data & Analytics Leader and Risk Assurance China/Hong Kong Digital Risk Solutions Leader.

A total of 41 teams consisting of 147 students enrolled for the competition which is happening on 28 and 29 January in PwC’s office, where the teams will be evaluated on their technical capability, innovation thinking and business acumen. The top three winning teams will be awarded with cash prizes and two-months internship or one-year placement programme with the Data & Analytics team within the Risk Assurance unit of PwC in Hong Kong.

PwC Risk Assurance’s Data & Analytics team is one of the leading subject-matter experts, dedicated to advancing the development of and nurturing future talents in data science and machine learning. Apart from the competition itself, Data-lympics also presents an opportunity for students to network with and learn from peers and industry professionals.

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