Data Scientist

Editx; Diegem; On-site; EUR 60,000 - 90,000; Full time

Job summary

Sopra Steria is seeking a passionate Data Scientist to push the boundaries in digital transformation and AI, working in a constructive, collaborative team environment. You’ll tackle impactful projects that drive change for clients and extract real value from data.

You will apply your skills to real scenarios across domains such as healthcare, finance, and retail, using the latest ML and DL techniques to deliver practical solutions.

Responsibilities

• Dive into the world of artificial intelligence and apply skills to real scenarios.
• Work on domains such as healthcare, finance, and retail, using ML/DL techniques to deliver practical solutions.

Job description

We’re seeking passionate colleagues who are eager to push the boundaries in digital transformation and technology consulting. At Sopra Steria, you’ll have the opportunity to grow your skills in a constructive, collaborative team environment, working on impactful projects that drive change for our clients. If you thrive on challenge and meet (most of) the qualifications below, we look forward to your application!

You are fully convinced that data science isn’t a hype, but you also believe that, in order to be valuable and really make a company smarter, it must be done right. Your goal is therefore to create the most impactful solution possible in the quickest and easiest way possible so that real value can be extracted from data and artificial intelligence.

Are you brimming with fresh ideas to lead our Data Science team in providing data-driven solutions to our customers based on the latest machine learning models and deep learning algorithms? If you are looking for a new challenge with a steep learning curve, and the support of a dynamic team, you may be our next Data Scientist.

As a Data Scientist, you will dive into the world of artificial intelligence. You will apply your skills to real scenarios and in different domains, such as drug discovery in healthcare, fraud detection in banks, the development of recommendation systems in the retail sector, and more.