Data Science Game: a worldwide student challenge

For the second year in a row, the Data Science Game will see Data Science students from around the world compete in this prestigious competition. This year, 143 teams, representing more than 50 universities from 28 different countries (view the map) will face a real-life demanding and innovative business challenge. To stand out in this competition, students will have to imagine and implement predictive models related to Big Data issues.

On September 10 and 11, Paris will welcome an international student hackathon focused on Big Data analytics. From the 143 teams, twenty groups from around the world will defend their university’s reputation in the 2016 Data Science Game.

But to access this ultimate challenge, teams who have already enrolled first have to demonstrate their worth through an online application process from June 17 to July 10. During this first phase, co-organized with ChaLearn specialists in the organization of Machine Learning challenges, the applicants will have to find the best solutions to a predictive problem involving massive and complex data, using statistical algorithms to treat and figure out this data. Each university will be scored on the predictive power of these algorithms, and a ranking will single out the best twenty teams that will compete in the final challenge in Paris.

This year once again, Data Science Game can count on its partners’ support, who are key contributors in the field of Data Science. Thanks to Capgemini, a global leader in digital consulting and IT services, participating students will have the opportunity to stay in an exceptional historic place: « Les Fontaines » (the Capgemini Group Campus) near Paris.

John Brahim, Head of Capgemini Group’s Insights & Data Global Practice said “Data analytics are critical to our clients in this digital landscape, providing powerful insights that change the business. Competitions such as the 2016 Data Science Game will help inspire the next generation of data specialists and to provide them with the environment to experience first-hand the complexities of solving real business challenges. We hope that this will encourage them to go on to pursue a stimulating career in data analytics.”

Microsoft will provide the students its Azure cloud computing platform in order to offer them a particularly convenient environment for Big Data analysis.

Cortana Intelligence Suite is Microsoft’s fully managed big data and advanced analytics suite. With Cortana Intelligence, students can access a rich set of data science tools including Azure Machine Learning, Jupyter notebooks on R and Python as well as cognitive API’s to transform data into intelligent action. At the 2016 Data Science Game, it will be great to see how the data science community will use our platform in innovative ways to develop compelling solutions.

Herain Oberoi, Director, Product Marketing & Management, C&E, Microsoft Redmond

The teams will also benefit from the expertise of the Data Innovation Lab, created by the AXA Group in early 2014 with the objective to create value for its customers based on their data.

“At AXA, we are convinced that Big Data is a great opportunity to redefine the way we serve our customers. The Data Innovation Lab is committed to making AXA data-driven by fostering Data Science skills and expertise, building technological assets and supporting all our subsidiaries in their Big Data projects. Sponsoring the 2016 Data Science Game is aligned with this objective: it enables us to contribute to the growing data ecosystem, in particular by supporting the development of data talents, and is also a good way to get a new perspective on key insurance challenges with state-of-the-art technical solutions”.

Philippe Marie-Jeanne, AXA Group Chief Data Officer and Head of the Data Innovation Lab

The contest will also be supported by Milliman, the independent actuarial firm, and other partners: Covéa, Bouygues Telecom, Deezer, Zelros, the Fondation ParisTech and Paris-Saclay University.

These two days of competition in September represent a unique opportunity for the contestants to show their skills in the presence of data specialists. Nurtured throughout the weekend, with advice from Data Scientists working in the partner firms, the students will be in the best possible environment to learn and be excited by this competitive environment.

One question remains: who will succeed the Russian team of Moscow State University (MSU), the winner of the 2015 competition?

Contact: Audrey Ribeiro