Data Scientist

Your Impact

As a Data Scientist at Ordina, you’ll dive into the world of Artificial Intelligence (AI). You’ll apply your skills to real scenarios and in different domains, such as the discovery and investigation of payment flows at governmental entities, fraud detection at banks, the development of recommendation systems in the retail sector, and the optimization of supply chains.

We are active in themes such as Natural Language Processing (NLP), Computer Vision, Machine Learning Operations (MLOps), AIOps and Explanable A.I. (XAI). You’ll carry out development and implementation of solutions with Machine Learning & Deep Learning at our clients and assess the quality and performance of existing predictive models through to bringing and keeping them into production.

Where you're going to get started

We create sustainable value for our clients through data within our Data area. We help companies stay agile while in transition by making data and technology part of both daily operations and strategic decision-making. We use data to help our clients stay ahead of change. Our ambition is to help organizations excel with data.

The area consists of five practices : Data Governance and Data Management, Data Visualization, Data Science and AI, Data Engineering and Data Migrations, and Spatial Intelligence. Each with a distinct focus on content and the right solution. Over 170 professionals work in a content practice that is a logical fit for them.

We believe in the power of multidisciplinary teams. Your expertise, personal ambitions and customer requirements are the basis for the composition of our High Performance Teams. You’ll become an indispensable link in a team of professionals so together you can all bring out the best in each other. Everyone contributes from their own expertise and technology so we all keep learning from each other and no one is ever alone.

This is you

• Master's degree or the equivalent in experience in a Data Science field as a Data Scientist, Machine Learning Engineer, MLOps, or Software Engineer
• Experience in some of the following Data Science techniques : supervised and unsupervised learning algorithms deep learning anomaly detection recommender systems natural language processing computer vision and reinforcement learning autoencoders, transformers, forecasting
• Experience in one of the following languages : Python R
• Experience in bringing Data Science solutions / software to production (Azure, AWS, GCP, Kubernetes, Docker, etc.)
• Experience in building and implementing advanced analytics solutions and you can provide some reference cases
• In-depth knowledge of open-source software and libraries in Python and / or R for machine and deep learning
• Experience in big data and platforms such as Azure Machine Learning Services and Amazon SageMaker is an advantage
• Good command of the Dutch language

Benefits

Everyone is welcome to apply. Because we believe in the power of diversity and value inclusion. After all, the best ideas and smartest solutions arise in diverse teams. That is exactly why we pay so much attention to the composition of our high performance teams. So that you feel at home and can get the best out of yourself.