About this role
Responsibilities 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. 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.