About the role
Internship Objectives:<br><br> * Application of AI &amp; ML and advanced analytics on our Cloud foundation for optimizing supply chain processes<br> * Developing the required data pipeline and foundation for a data backbone on our cloud infrastructure<br> * Showing business benefit by achieving a sustainable improvement in SC KPIs<br><br><br> Responsibilities:<br><br> * Carry out literature review and identify best practices in the use of ML, analytics and cloud technologies in inventory management, demand and capacity planning and SC optimization<br> * Understand, extract, clean and structure the relevant business, SC and market big data<br> * Learn &amp; master the cloud apps and codes relevant to the project<br> * Develop and integrate pipelines, algorithms and structure needed for the project<br> * Benchmark and evaluate the results<br> * Help integrating the new approaches into the processes and show the improvement of KPIs<br><br><br> Competencies acquired at the end of the Internship: <br><br> * Hard skills: A strong foundational knowledge and experience in: Cloud technology, Supply chain analytics, ML for business planning and applications, Data pipelines, ML pipelines in cloud, Supply chain data and KPIs<br> * Soft skills: Teamwork, Communication, Stakeholder management, Project management, Agile development, Translating business needs to technical solutions<br><br><br> Qualifications:<br><br> * MSc or BSc in Engineering, Mathematics, Physics, Business Administration or similar<br> * Good coding skills in Python<br> * Knowledge and experience in machine learning (ML)<br> * Familiarity with cloud platforms (preferentially Azure)<br> * Strong analytical thinking, technical, communication and presentation skills