Data Scientist – Machine Learning & AI Job ID: JP054484

Data Scientist – Machine Learning & AI We are seeking a Data Scientist to design, develop, and maintain a modular and future-proof machine learning framework while delivering advanced analytics and predictive modeling solutions to support business objectives. Key Responsibilities Machine Learning Framework Development Design and implement a scalable and reusable machine learning framework. Establish best practices for data preprocessing, model training, validation, deployment, and lifecycle management. Implement monitoring, feedback loops, and model retraining mechanisms. Manage model versioning, reproducibility, logging, and system monitoring. Prepare infrastructure for future cloud migration initiatives. Document processes, methodologies, and technical solutions. Coach and support team members in the adoption and use of the framework. Present technical analyses and results to business stakeholders. Data Science & Machine Learning Solutions Translate business requirements into technical solutions using an iterative development approach. Identify, assess, and validate relevant data sources. Perform data analysis, data preparation, and exploratory data analysis (EDA). Develop feature engineering strategies to improve model performance. Select, evaluate, compare, and optimize machine learning algorithms. Build, tune, automate, and maintain predictive models. Continuously evaluate and improve model accuracy and effectiveness. Communicate insights and recommendations through clear visualizations and presentations. Required Skills & Experience Strong experience with Python for Data Science and Machine Learning. Solid knowledge of SQL and database technologies. Experience with Machine Learning and AI techniques for data analysis. Experience developing and evaluating analytical and predictive models. Hands-on experience with Jupyter Notebook and KNIME. Knowledge of Microsoft Fabric. Experience with Microsoft DevOps or similar CI/CD and version control platforms. Experience working with Microsoft SQL databases. Knowledge of Oracle database environments. Familiarity with Azure Machine Learning and Azure ML SDK. Languages Native proficiency in either Dutch or French. Ability to read and understand the other national language. Working Model Hybrid work environment. On-site presence required 2 days per week in Brussels, with remote work available on remaining days. Selection Process Interview combined with a practical technical assignment.