Location: Belgium (Hybrid / On-site / Remote depending on client)
Contract Type: Permanent or Freelance (depending on project)
Language: Dutch and/or French, English
About the role
We are building a talent pool of Data Scientists for upcoming opportunities with leading companies across Belgium. These roles focus on turning complex data into actionable insights, developing predictive models, and supporting business decision-making through advanced analytics and machine learning.
Key Responsibilities
* Build and deploy machine learning models (classification, regression, forecasting, clustering, NLP, etc.)
* Analyze large datasets and translate results into clear business insights
* Work closely with stakeholders (business, product, engineering)
* Create dashboards and reports to communicate findings
* Improve data quality, feature engineering, and model performance
* Support end-to-end model lifecycle: experimentation validation deployment monitoring
Required Skills & Experience
* 2+ years of experience in Data Science / Machine Learning (or strong project portfolio)
* Strong Python skills (Pandas, NumPy, Scikit-learn)
* Experience with SQL and working with structured/unstructured data
* Strong statistical and analytical thinking
* Experience with model evaluation, validation, and performance monitoring
* Strong communication skills (able to explain technical results to non-technical stakeholders)
Nice to Have
* Experience with cloud platforms (Azure / AWS / GCP)
* Experience with Databricks, Spark, or big data tooling
* MLOps exposure (MLflow, CI/CD, Docker, Kubernetes)
* Experience with Power BI or Tableau
* Knowledge of deep learning frameworks (TensorFlow / PyTorch)
Whats in it for you
* Access to high-quality Data Science projects in Belgium
* Opportunities in top industries: banking, pharma, energy, tech, manufacturing
* Fast process and direct client access for the right profiles
* Competitive rates/salaries depending on experience
Interested?
Apply now and we will reach out when a matching opportunity becomes available.