Data Scientist – Machine Learning & AI Job ID: JP054484

About the job 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.