- - Professional |
- - Nieuwegein |
- - Full-time |
- - Fulltime |
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
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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
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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
- Part of our Data community with passionate and experienced peers;
- focus on working with one of our High Performance Teams (HPT) at renowned clients;
- you work in a high-tech environment with a focus on knowledge and innovation, an open no-nonsense corporate culture with room for own initiative;
- working with less travel time; remote & flexible;
- an environment where entrepreneurship and own initiative are encouraged;
- a culture where collegiality, knowledge sharing and collaboration are key;
- a pension plan, to which you are not required to contribute;
- 20 statutory days off and 7 additional days off via flex benefits;
- adapt your terms of employment to your personal wishes with flex benefits
- choice between a company car or a mobility scheme;