The way we are gathering and storing data is evolving as never before. Data is everywhere. Are you passionate about data?
Ready to explore the data and derive information and insights from it?
Just as data is everywhere, also technology to analyze data is emerging quickly. The more traditional business intelligence architecture is challenged by open source technologies such as Python, R, Spark and Scala.
In parallel, there is an increasing demand in the market to incorporate machine learning algorithms / applications within the in-
house technology landscape.
Capgemini is looking for people who are able to safeguard the equilibrium between a well-designed BI-landscape and the introduction of new techniques and algorithms within those existing BI landscapes.
At Capgemini, we are convinced that every data analyst / scientist should have experience in the more traditional BI activities such as building a BI data warehouse and the related end-
user reports. Likewise, anybody entering his / her professional life with data science aspirations, should at least also be interested in a more traditional BI challenge.
Working for Capgemini gives you the opportunity to benefit from merit-based promotion, build your network, grow your knowledge and participate in and contribute to a global team that acts with passion, commitment and integrity.
Capgemini offers you the freedom to be outstanding!
You’ll be involved in the delivery of end-to-end projects at some of the world’s largest accounts. This includes : <
You’ll be involved in the business development (pre-sales, replying to RFP / RFI) activities for the continuous growth of Capgemini.
You’ll be part of an international organisation and practice and will be based in Belgium (at client side, in our office or working remotely).
You’ll have the opportunity to coach and train other colleagues in the field of data science and big data
Your profile <
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Convinced? Don’t hesitate! Apply now and we can have a constructive conversation. It’s in our DNA to be flexible in the way we work : we can meet up close to your location, you can come visit our headquarters and meet some of our teams and consultants, we can have a video call all up to you!