Are you studying Engineering, Business Support? Or is your study related to IT or Digitalisation? Are you eager to apply your theoretical knowledge in a practical business setting? If so, we encourage you to apply for Student Assistant job at our Novo Nordisk site in Hjørring where you will have an opportunity to be considered for various positions. Apply today and join us!
The position
The responsibilities as a Student Assistant will vary depending on the department and role. However, you can expect to become a valued team member, where people are eager to learn from you and your perspectives and take the time to provide you with valuable insights. You will interact with many colleagues within your team, department or even across the organisation, managing many stakeholders. Your assignments will be influenced by your passion and motivation.We focus on continously introducing new ways of optimizing the way we work, becoming data-driven and a fully automized production plant.
Practicalities:
Working hours: between 8-20 hours per week (flexibility during exam periods)
A Danish full-time work permit is required
Qualifications
As an Engineering Student Assistant applicant you are currently pursuing a Bachelor’s or Master’s degree in Engineering e.g., Mechanical, Chemical, Production, Innovation, or other related fields with at least 12 months left of your studies.
As an IT & Digitalisation applicant, you are currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science/Analytics, Data Engineering, IT & Automation, or other related fields with at least 12 months left of your studies. Experience with tools and languages such as PowerBI, Tableau, R, Python, Alteryx, SQL and the ability to work with various stakeholders is a plus.
We are seeking Student Assistants who are eager to learn, able to manage their time effectively and have some experience in their field. The ability to work with various stakeholders is a plus. Fluency in English is a requirement, and your CV should be submitted in English.
Application Checklist
About the department
You will have the opportunity to support and explore areas such as Good Manufacturing Process, Change control, Supplier evaluation, Validation of equipment, LEAN & Agile way of working, Advanced automation, Machine vision & Machine learning, Virtual or Augmented reality, Software Development, Solution & IT-Architecture, Data Science & Engineering, Cloud Development, Business Analytics and IT Automation, Support and Operations.
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