Job Description

About VAT Group

At VAT, we change the world with vacuum solutions. As the world’s leading supplier of high-performance vacuum valves, we have been driving innovation for more than 60 years. With over 3,200 employees worldwide, we operate from our headquarters in Haag, Switzerland, with manufacturing sites in Switzerland, Malaysia and Romania, as well as sales and service hubs around the world. We are guided by our passions integrity, teamwork, customer centricity, and innovation – always working together as #oneVAT.

Joining us means becoming part of a passionate, international team where your voice is heard, your ideas matter, and your career growth is supported.

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

Our commitment to inclusion, fairness and equal opportunities

We believe in meaningful careers, continuous learning, and equal opportunities for everyone to drive our innovation and success. We welcome applicants from all backgrounds and are dedicated to fostering an inclusive and respectful workplace. If you have concerns, our compliance channel is available at our website. All reports are handled with strict confidentiality and in accordance with our Code of Conduct