Location : bruxellesStart date : 01/08/2025Duration: 5 months renewableRemote : HybridMission overviewWe 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 responsibilitiesDesign and implementation of a Machine Learning frameworkDefine 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 modelsTranslate 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 skillsMachine Learning Techniques & Analytical Modeling (expertise required)Python for data scienceSQL (expert)Microsoft Azure Machine Learning / Azure ML SDKMicrosoft DevOps or similarMicrosoft FabricJupyter NotebooksMicrosoft SQL DatabaseOracle Database ManagementSoft skillsStrong analytical thinking and communication skillsAbility to clearly explain technical concepts to business usersProactive and autonomous mindsetAbility to coach team members and work collaboratively