Data Scientist


Avenue Jules Bordet 168 1140 Bruxelles


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Kennziffer der Stelle



Operations — Engineering



Mindestanforderungen Erfahrungsniveau

3 bis 5 Jahre







Our Team :

Research & Development (R&D) is responsible for development of attractive & competitive quality cars matching European customer requirements.
The  target is to develop solutions which can be implemented in the power-train system to reduce fuel consumption, cost, weight and the car's performance supporting

The MBD (Model Based Design) team is part of the Powertrain Engineering group, and try to integrate new methodology into our design, calibration and evaluation. In this activity, the target is to apply AI/Big data/ RPA (Robotic Process Automation) for development in order to improve efficiency.

In parallel to modelling, data analysis of test results & comparison with simulation is necessary to improve the method accuracy.


You will be working within Digital MBD team on AI / ML / Big data related tasks :

1. Develop AI/ML and physical models of BEV and PHEV aiming at predicting the energy consumption based on vehicle test and/or real world big data from the customer's cloud system.
2. Propose new ideas to make use of big data to improve model accuracy and/or speed of calibration.
3. Take a role of expert in the field of data science and modelling, contribute to the team overall outcome, support problem solving.
4. Thorough analysis of simulation & test data and draw conclusions.
5. Validate model prediction accuracy against real world big data from the customer's cloud system.
6. Create dashboard to visualize vehicle to energy and fuel consumption breakdown during the trips.


You have a Master of Science or equivalent degree in statistics, mathematics, computer science or mechanical/automotive engineering, with 3~5 years of experience maximum in the industry.

• Required strong computer skills in Python, Matlab & Simulink, MS Office,

• Relevant experience in the field of data science: processing of big data, exploratory & explanatory data analysis, data cleaning, feature engineering, statistical & correlation analysis, machine learning model training and validation, visualization, storytelling and presentation.

• Strong analytical skills, perseverance, autonomous and the ability to work as part of a team in a hybrid style (office & remote).

• You are a problem solver, curious and you love technical challenges

• Ability to communication clearly at all levels, and visually summarise progress.

• Fluent in English. Any other European language is a plus.

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