Data science engineer with interest to contribute to a more sustainable society

As part our expansion, we are looking to reinforce our innovation team with a Data Science Engineer
As Data Science Engineer you will be a key contributor to the development of new smart water solutions. 

We work on hybrid solutions that combine data-driven models with physically based models to provide optimal solutions tailored to our clients' needs. These models account for both time-dependent behavior and spatial variations, enabling us to effectively model water flows through natural and urban water systems.

• Data Analysis and Machine Learning
  • Analyze and interpret complex datasets to generate actionable insights for project improvement
  • Develop, train, and deploy machine learning models tailored to our industry-specific needs
  • Work with cross-functional teams to deliver high-impact data-driven solutions
• Machine Learning Pipeline Development
  • Create, optimize, and maintain data pipelines for machine learning and statistical analysis
  • Integrate data from various sources, ensuring accuracy and data quality
  • Conduct testing and validation of models to guarantee reliability
• Python Development for Data Science
  • Develop data engineering and machine learning applications in Python, using libraries like Pandas, NumPy… and deep learning frameworks
  • Ensure code quality through best practices in documentation and version control
• Collaboration and Communication
  • Effectively communicate findings to both technical and non-technical stakeholders
  • Present data insights in an understandable format, supporting data-driven decision-making within the team

• Preferred qualifications:
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Environmental Science, or a related field
  • Experience with cloud platforms and big data tools
  • Proficiency with databases (SQL, Mongo…)
  • Strong collaboration and communication skills
  • Eager to learn and getting positive energy from searching for new solutions and exploring the unknown
  • Initiator who can work independently and purposeful
  • Hands-on mentality, flexible and not afraid of some tasks outside the specific responsibilities 
• Must-haves qualifications:
  • Experience in Data Analysis and Machine Learning
    • Minimum 3 years of experience in data analysis and machine learning, with demonstrated projects or roles in applying predictive modeling.
  • Proficiency in Python
    • Strong skills in Python for data analysis and machine learning, along with experience in essential libraries (e.g., Pandas, NumPy…)
  • Native proficiency in Dutch or French or English, with minimum professional-level English
• Nice-to-Have Qualifications:
  • Experience in the Water Sector and Water Modeling
    • Background in solutions for water management, hydrological or hydraulic modeling, or other relevant water sector experience
  • Power BI Experience
    • Skilled in Power BI for creating dashboards and visualizations that turn complex data into accessible insights
  • GIS and Scripting Experience
    • Knowledge of GIS, particularly with scripting experience for spatial data manipulation and visualization
  • Front-End Development
    • Basic experience in front-end development for building user-friendly interfaces that support data visualization and access

Besides a competitive salary, complemented by a wide range of fringe benefits, we also offer you:

• Impact. You participate in an integrated, climate-adaptive and sustainable water management.
• Responsibility. You have a responsible position. Autonomy and own initiative are important.
• Personal development. Opportunities to push your professional boundaries, and career opportunities in the various fields of integrated water management.
• Participation in a growing company with a start-up mentality (horizontal structure) that is fully committed to innovation.
• Flexibility. With opportunities for working from home and choice of workplace: Leuven, Ghent, Antwerp, Gembloux.
• Dynamic and respectful working environment. Motivating and open corporate culture. Read below what our employees themselves say about this

1. Challenging projects in different areas of expertise
   In terms of job content, our water engineers can really do their thing at HydroScan, with the necessary challenges in various areas of integrated water management, such as rainwater plans, flood forecasting, hydraulic modelling, solution scenarios and remedial measures such as infiltration techniques, collective buffering, leak detection, real-time alarm systems ...
2. Social importance
   Water is a scarce commodity. Reducing drinking water losses, lowering water consumption and using rainwater sustainably are professional activities that contribute to a more sustainable society.
3. Young and dynamic team
   The average age at HydroScan is 36, with an ideal mix of young talent and experienced experts. There is a collegial working atmosphere and a real team spirit.
4. Flexibility
   HydroScan employees can handle their working time flexibly. For example, they can do an errand during the working day or go to the hairdresser and work longer hours at other times.  
5. Freedom within a structure
   Employees appreciate being able to work independently, to find the necessary freedom within a given framework.