Data Analytics Intern

About this Position We are seeking a highly motivated postgraduate intern specializing in Artificial Intelligence, Analytics, Data Science, Machine Learning, or related disciplines to support a strategic Quality 4.0 initiative. The project focuses on developing AI-powered agents that analyze manufacturing and quality data from SAP and the Quality Control Lab Automation Digitization (QCLAD) platform to generate real-time adjustment material recommendations during production. The objective is to improve process capability, reduce waste, increase first pass quality, and unlock sustainable Day-2 savings opportunities. What you´ll do Analyze and integrate quality data from Incoming Quality Control (IQC), In-Process Quality Control (IPQC), and Outgoing Quality Control (OQC) systems; Develop AI/ML models to identify process trends and predict quality outcomes. Build AI agents capable of recommending material adjustment proposals during manufacturing operations; Leverage historical SAP production, formulation, and quality datasets to train and validate predictive models. Collaborate with Quality, Manufacturing, Digital, and Data Analytics teams to understand business requirements; Design dashboards and visualizations to demonstrate business impact and savings opportunities. Evaluate agentic AI frameworks and Generative AI approaches for manufacturing decision support. Document methodologies, algorithms, and recommendations for future deployment and scaling. Expected Deliverables are as follows: prototype AI agent for production adjustment recommendations, predictive models correlating IQC, IPQC, OQC, and process parameters with final product quality, quantified Day-2 savings opportunities through reduced rework, scrap, and process variability, and deployment roadmap for scaling the solution across manufacturing sites.