Data scientist in the field of water line integrity solutions (all genders welcome)

ROSEN Group is seeking a Data scientist in the field of water line integrity solutions (all genders welcome). Please check the vacancy for more information.

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Vacature details

Geplaatst op
Aantal uur
Universitair (WO)

Functie omschrijving

You will support an agile, interdisciplinary team in setting up inspection solutions for the pipe systems of water suppliers. Newly developed sensors and technologies collect data from a wide variety of sources. These are processed and analyzed by you to make clear decisions in the maintenance and preservation of pipe networks and to secure the water supply of the future. A high degree of automation for detection and classification within the data is necessary here.

Apply to us and become part of a creative and multicultural team and receive the support you need to get started right away!


  • Development of algorithms for detection and classification of objects from data measured by our pipeline inspection devices
  • Helping to shape and use technological trends, for example in the areas of artificial intelligence, high-performance computing, data persistence and processing, as well as big data solutions
  • Collect, prepare, process and analyze large heterogeneous data sources
  • Development of algorithmic methods from the fields of signal processing, machine learning and computer vision and use of 3rd party components
  • Provision of algorithms and intelligent services in the form of minimum viable products with a focus on customer experience
  • Interdisciplinary cooperation in the integration of the algorithms into our software applications


To become part of the ROSEN family, you convince with analytical thinking and a structured and result-oriented way of working Moreover, you should bring with you:

  • Degree or PhD in information technology, physics, mathematics, computer science or a comparable field of study
  • Experience in algorithm development, e.g. for descriptive and diagnostic analyses, as well as with forecasting methods
  • Methodological skills in the field of data mining and machine learning, in particular supervised and unsupervised learning
  • You are also welcome to bring experience in the areas of explainable artificial intelligence, MLOps or applied statistics
  • Sound knowledge in applied mathematics (linear algebra, optimization methods, stochastics)
  • Knowledge of at least one object-oriented programming language (e.g. Python, C/C++ or Java)
  • Good spoken and written English language skills


  • Development opportunities and career opportunities in a global, innovative and long-term oriented group of companies with family character
  • Flexible working time  and Home Office possible
  • An open,  informal corporate culture, where we celebrate success with social events
  • Compatibility of work and family through our company-owned bilingual day care center ROKIDS as well as our bilingual elementary school ROBIGS (optional: day care during the holiday)
  • Employer funded pension and capital accumulation benefits
  • Company Restaurant (only in Lingen) and fresh fruit is available daily
  • Various in-house sports activities (EGYM Wellpass and other offers)
  • Attractive leasing offers for IT-products and bikes for private use
  • Corporate Benefits - employee offers in changing online shops at top conditions

Bedrijfsprofiel ROSEN Group

ROSEN is a leading family-owned company founded in 1981 by Hermann Rosen. Over the last 40 years, ROSEN has grown organically and is today a global technology group operating in over 120 countries with more than 4300 employees.

ROSEN Creation Center GmbH is a provider of intelligent system solutions, latest technologies and innovative products and services for customers in the field of conventional and renewable energies, critical infrastructures and other industries. The company benefits from over 40 years of technology, materials and service experience of the ROSEN Group.


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Meer informatie

Zutphenstraat 15
0541 - 671 000