Data Science Expert

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. At least 3+ years of experience in Data Science.

Master's degree (or equivalent through experience) in a field that is highly data-driven.

Experience with some of the following data science techniques: supervised and unsupervised learning models, deep learning, anomaly detection, recommender systems, natural language processing, computer vision and reinforcement learning.

Well versed in open-source software and libraries in Python and/or R for machine and deep learning.

Experience with big data and platforms such as Azure Machine Learning Services and Amazon SageMaker is a plus.

Experience in one of the following languages: Python, R, Spark, Scala, Java or C++.

You are fluent in Dutch or French and in English.

Nederlands (troef)

As a member of one of Europe's largest digital solutions providers, you'll benefit from extensive career development opportunities, both local and international. At the Sopra Steria Academy, you'll be part of a dynamic network of 56,000 professionals at all stages of their careers. You'll become a part of a major Tech player in Europe recognized for its consulting, digital services, and software development. On top of that, you'll join the OptimAi Team: the partner for advanced, intelligent solutions using AI.

Work among high-level professionals at the forefront of corporate software solutions and innovation at Europe's Leading Digital Service Provider.??

The opportunity to connect with fellow Sopra Steria colleagues at various team events.

Our goal is to build high-functioning teams and healthy team environments that inspire and help each other to deliver excellence for each of our customers.??

We are looking forward to your application!?

At least 7+ years of experience in Data Science.

You coordinate the development and implementation of solutions with machine and deep learning at our customers.

You assess the quality and performance of existing predictive models.

You lead a team of talented Data Scientists.

Master's degree (or equivalent through experience) in a field that is highly data-driven.

Experience with some of the following data science techniques: supervised and unsupervised learning models, deep learning, anomaly detection, recommender systems, natural language processing, computer vision and reinforcement learning.

Experience in one of the following languages: Python, R, Spark, Scala, Java or C++.

Well versed in open-source software and libraries in Python and/or R for machine and deep learning.

Experience with big data and platforms such as Azure Machine Learning Services and Amazon SageMaker is a plus.

You are fluent in Dutch or French and in English.

______

All qualified applicants will be considered for employment without regard to age, ancestry, nationality, color, family or medical leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, gender (including pregnancy), sexual orientation or any other characteristic protected by applicable local laws, regulations and ordinances.