Data Science Hackathon, 8-9 Nov. 2021

DATA SCIENCE TEAM - GLOBAL TECHNOLOGY HACKATHON

Edenred is a pioneer, a tech leader and the everyday companion for people at work across more than 46 countries. Our 10,000 employees are committed to making the world of work a better place for all, one that is safer, more efficient and more user-friendly. At Edenred, our passion for customers, respect, imagination, simplicity and entrepreneurial spirit are our values. For anyone who needs to vibe in their professional life, we are the best place for you to work and grow. In 2019, thanks to its global technology assets, the Group managed €31 billion in business volume, primarily carried out via mobile applications, online platforms and cards. Edenred is listed on the Euronext Paris stock exchange and included in the following indices: CAC Next 20, FTSE4Good, DJSI Europe and MSCI Europe.

The Edenred Digital Center (EDC) in Bucharest, Romania is Edenred Group's largest Digital hub for strategic Tech projects.

YOU WILL VIBE WITH US

Join our Global Technology Data Science Team for a 2 days hackathon that will give you the opportunity to work with experts from 3 different countries and to start an internship within our tech hub in Bucharest!

We aim at leading the leverage of Data Science & Analytics across Edenred in order to create insights and build products to support business growth and efficiency according to business needs. As a central function, we ensure the maximization of re-application and re-usage of key data products, we lead the continuous R&D of new models, algorithms and products, and we guarantee the standardized approach to management, delivery and support for Data Science & Analytics projects and products.

If our mission sounds interesting and challeging to you and you would like to become part of a global team, apply and participate in defining the use case and designing it during the Hackathon event. 

REQUIRED SKILLS & PROFILE 
 

• Currently working on a BS/MS/Ph.D. degree in data science/computer science/mathematics or related
• Knowledge of Python/SQL query language/Machine Learning
• Knowledge of Spark and Cloud platforms: ex. Azure, AWS, etc.
• Language: English mandatory