You will join a company with a family-minded culture with an entrepreneurial mindset and always willing to achieve big challenges. As an optimization and modeling expert in this company, you will be part of the Center of Excellence dedicated to facilitating complex business decision-making processes using Optimization, Data Analytics, Machine Learning, and other Data Science approaches.

You will be responsible for translating advanced analytics approach in business-oriented words by understanding client needs
You will be in charge of designing, developing and maintaining Data Analytics and Machine Learning solutions
You will have an important role in building a strong relationship with international clients
You will have to manage the daily execution of important projects
You have a master's degree in Applied Mathematics, computer science or equivalent quantitative degree
You speak fluently French or Dutch with strong command of English
You have relevant experience in Machine Learning technique, python algorithms, and other Artificial Intelligence techniques
You will earn a salary of up to 75.000 euros a year depending on your experience
You will benefit from a very competitive package:
Company Car - Fuel Card
Meal vouchers (8€/day)
End Year Bonus
Health and Group Insurances
Growth opportunities: Grow in the company and get promotions
Possibility to have flexible working hours and unlimited perspectives
You will get a highly attractive holidays package which will enhance your work-life balance and improve your personal life
You will join a family-minded company with horizontal management which will allow to be close to your colleagues and have a clear view of the business
You will have the chance to join a unique work environment that encourages the development of all talents

• CONFIDENTIALITY ASSURED -

Please note that by applying your CV is sent directly and only to the consultant in charge of this opportunity
Do not hesitate to contact Amine Baalouach if you are interested in this ad or if you are looking for another position in BI/Data & Analytics.
He is available on the following number: +32 (0) 2 640 04 44