Location : bruxelles
Start date : 01/08/2025
Duration: 5 months renewable
Remote : Hybrid
Mission overview
We are looking for an expert Data Scientist to contribute to the design and implementation of a modular, future-proof Machine Learning framework, and to support the development of Machine Learning models that address business needs in an agile and iterative manner.
Key responsibilities
Design and implementation of a Machine Learning framework
Define and implement best practices for data preprocessing, model training, validation, and deployment.
Integrate model monitoring, maintenance, and feedback loops (e.g., performance tracking and retraining).
Ensure robust Version Control and logging across the ML infrastructure.
Prepare infrastructure for potential migration to cloud environments.
Provide documentation of all processes and components.
Coach internal team members on using the developed ML framework.
Present technical analyses and outcomes to non-technical business stakeholders.
Development and application of Machine Learning models
Translate business questions into ML solutions through iterative collaboration.
Identify, assess, and prepare relevant data sources.
Conduct data exploration, feature engineering, and data quality assessments.
Select appropriate algorithms and develop, compare, and tune predictive models.
Automate modeling workflows and present results in a clear and impactful manner.
Continuously evaluate and improve model performance.
Technical skills
Machine Learning Techniques & Analytical Modeling (expertise required)
Python for data science
SQL (expert)
Microsoft Azure Machine Learning / Azure ML SDK
Microsoft DevOps or similar
Microsoft Fabric
Jupyter Notebooks
Microsoft SQL Database
Oracle Database Management
Soft skills
Strong analytical thinking and communication skills
Ability to clearly explain technical concepts to business users
Proactive and autonomous mindset
Ability to coach team members and work collaboratively