Internship Machine Learning & Cloud Technologies for Supply Chain Applications
Internship Objectives:
Application of AI & ML and advanced analytics on our Cloud foundation for optimizing supply chain processes
Developing the required data pipeline and foundation for a data backbone on our cloud infrastructure
Showing business benefit by achieving a sustainable improvement in SC KPIs
Responsibilities:
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
Understand, extract, clean and structure the relevant business, SC and market big data
Learn & master the cloud apps and codes relevant to the project
Develop and integrate pipelines, algorithms and structure needed for the project
Benchmark and evaluate the results
Help integrating the new approaches into the processes and show the improvement of KPIs
Competencies acquired at the end of the Internship:
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
Soft skills: Teamwork, Communication, Stakeholder management, Project management, Agile development, Translating business needs to technical solutions
Qualifications:
MSc or BSc in Engineering, Mathematics, Physics, Business Administration or similar
Good coding skills in Python
Knowledge and experience in machine learning (ML)
Familiarity with cloud platforms (preferentially Azure)
Strong analytical thinking, technical, communication and presentation skills
Job Details
Work location: 9469 Haag (Rheintal) (SG)
Workload: 100%
Employment start: 01.06.2026
Employment duration: 01.11.2026
Qualification: skilled
Work experience: Less than 1 year
Education: Master’s degree from a university or equivalent
English: Orally – Very good knowledge, Written – Very good knowledge
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