Are you a Bachelors or Masters graduate interested in working on innovative products in a startup environment with a competitive salary and a steep learning curve?

Are you a data scientist who is able to think out-of-the box and translate ideas to reality? Do you have the 'getting things done' attitude, can you really take ownership and do you love a challenge? If so we have the perfect job opportunity for you!

At Unetiq we work on sustainable Artificial Intelligence solutions focused in the Health & Sustainability sector for customers throughout Europe. As a Data Scientist you will perform data analysis tasks and develop POCs, MVPs and applications for new ideas or services. You will design, develop and deploy state-of-the-art machine learning methods.

The position is full-time and available directly.


  • Have EU citizenship or a valid work visa
  • Live in Munich or you are willing to move to Munich
  • Have excellent English verbal and written communication skills
  • Have advanced German verbal and written communication skills
  • Have an excellent degree (Bachelor or Master) in computer science, mathematics, physics or a related field
  • Are a strong team player and love to help others out
  • Have demonstrated proficiency in machine learning techniques such as NLP, deep learning, time series analysis, computer vision and data bases such as PostgreSQL and MongoDB
  • Have experience with big data analytics and visualization techniques
  • Have good proficiency in python, including go-to libraries within python tool stack (Numpy, Pandas, Scikit-Learn, PyTorch)
  • Are an independent worker with an analytical and solution-oriented mind-set and a strong hands on mentality
  • Tackle challenges with enthusiasm and have a talent for thinking outside the box


  • First experience with common cloud services infrastructure (AWS, GCP and Azure)
  • Experience with medical data

We offer you:

  • The chance to be part of an ambitious and young team
  • Exciting projects with real-world impact
  • Flexible working hours and home office options
  • Fair compensation
  • Steep learning curve
  • Realizing your own ideas

Projects you can work on: