As an experienced data scientist, you extract relevant insights from the amount of data available within Colruyt Group. You build machine learning models for our various retail brands. The result of your work: an even better, tailor‑made service for our customers.
What will you do?
* Within the IT division Data & Analytics, you work in a multidisciplinary team consisting of data scientists, data science engineers, data analysts, BI engineers… Together, you provide analytical solutions for the various Colruyt Group brands, such as Okay, Bike Republic, Bio-Planet or Jims. Within the data science knowledge group, experiences and expertise are shared, allowing you to continue learning.
* As a data scientist, you collaborate with complementary colleagues on a wide range of projects, working with new techniques and technologies (e.g., Polars, LightGBM, PyTorch, UV, Kedro, Ruff). In addition, we also work with cutting‑edge in‑house technology, such as our own forecasting module or causality module. You are also encouraged to proactively explore new methods and techniques—in consultation with the team—to help expand the knowledge and skill set of the group.
* The team focuses on our internal customers, the business partners. We translate their needs into analytical solutions, which we develop in multidisciplinary teams. This results in close and direct collaboration with other IT teams and the business.
* We are responsible for identifying new analytics opportunities. We proactively search for insights that create added value for our partners. In doing so, we look not only at Colruyt Group, but also at external trends in analytical use cases and technological innovation.
* Colruyt Group consists of many different entities, which creates enormous variety and volume in both data and use cases. The projects you contribute to range from customer segmentation, sales forecasting, and analysis of in‑store experiments to operational efficiency of machines, predictive maintenance, and optimal use of raw materials.
You work in Halle and can work from home up to two days per week.
Your Profile
* Experience – You hold a master’s degree in data science, business engineering, computer science, statistics, mathematics, … and you have at least 3 to 5 years of relevant experience.
* Knowledge of statistical modelling – You have excellent knowledge of machine learning and statistical modelling and can implement these in Python. You have a good knowledge of SQL and data visualisation techniques.
* Analytical ability – You are capable of translating data into insights and communicating these clearly and concisely.
* Language skills – You have excellent command of English and a good knowledge of Dutch.
What We Offer
* Stimulating work environment – You join an incredibly fascinating and rich data environment, where you are given room for initiative and gain a broad view of the company.
* Continuous learning opportunities – In addition to an extensive range of internal training courses, you also have the opportunity to follow additional training programmes. This allows you to continuously develop your business knowledge, technical skills, and social competencies.
* Attractive salary package – You receive a competitive salary with numerous fringe benefits, such as a company car, profit sharing, and meal vouchers.
At Colruyt Group, you can work differently. You, as a person, take centre stage—and you feel it immediately. You can sharpen your skills thanks to our development‑oriented approach and grow internally if you wish. Whether you are an analyst, store employee, marketeer or technician, you will surely find a job that fits you perfectly.
Colruyt Group believes in the power of diversity, equality and inclusion. Everyone is welcome to apply, and we offer equal opportunities to all.
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