Data Scientist – Python & Machine Learning

Our client, a leading organization in the pharmaceutical sector, is seeking a professional to join their digital transformation initiatives within a high-tech production environment. This role involves developing and implementing advanced data solutions, including machine learning and AI applications, to optimize the quality and efficiency of manufacturing processes.

• Collect and process production data from sources such as process historians, MES systems, and sensors.
• Develop robust data pipelines and analytical models using Python and SQL.
• Design and implement Machine Learning models for predictive maintenance and anomaly detection.
• Implement Large Language Model (LLM) applications for document processing and knowledge extraction.
• Collaborate with cross-functional teams to translate digital solutions into operational value.
• Document methodologies and results in compliance with GMP requirements.

• You bring 3+ years of experience in a data science or analytical role.
• You have advanced proficiency in Python for data analysis and automation, including pandas, scikit-learn, and NumPy.
• You possess strong skills in SQL for relational database management and complex queries.
• You have practical experience building and validating Machine Learning models for time-series and predictive analysis.
• You bring knowledge of Large Language Models (LLM), including fine-tuning and prompt engineering.
• You have experience with IIoT data contextualization using AVEVA PI Asset Framework or Seeq.
• You possess a Master's or Bachelor's degree in Data Science, Computer Science, or Engineering.
• You are proactive, analytical, and solution-oriented.
• You are fluent in Dutch and English.

Nice to Haves

• Experience in a GMP-regulated environment.
• Knowledge of WERUM PAS-X or other MES systems.
• Familiarity with DeltaV DCS or process control systems.
• Experience using Cursor or Claude for code development.

• Start date: ASAP
• Work regime: Full-time
• Location: Geel
• Working model: Hybrid
• Contract: open to both permanent employees and freelancers