Data Scientist
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Role details
Tech stack
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Requirements
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!, * 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.
- Extensive experience in building and implementing advanced analytics solutions backed up with some reference cases.
- 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 resident in Belgium and look forward to working a few days a week at the client’s office.
- You are fluent in Dutch or French and in English., * 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++.
- Extensive experience in building and implementing advanced analytics solutions backed up with some reference cases.
- 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 resident in Belgium and look forward to working a few days a week at the client’s office.
- You are fluent in Dutch or French and in English.
About the company
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. With a wide array of offices to explore, you can find your ideal location and take the next step in your career.
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.
Our employees are known for making bold choices and delivering results. Work among high-level professionals at the forefront of corporate software solutions and innovation at Europe’s Leading Digital Service Provider.
We offer a generous employee benefits package that includes:
- A variety of perks, such as mobility options (including a company car), insurance coverage, meal vouchers, eco-cheques, and more.
- Continuous learning opportunities through the Sopra Steria Academy to support your career development.
- The opportunity to connect with fellow Sopra Steria colleagues at various team events.
People are the cornerstone of our success. That’s why we aspire to be bolder together. 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.
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