Data Scientist

Location: København

*** Mention DataYoshi when applying ***

We are looking for a talented data scientist to join our excellent team and deliver some of the strongest AI solutions in the market built on strong NLP technology.

At SupWiz we’re building the next generation of software adding AI to customer service and support. We are expanding and hence looking for talented data scientists to bolster our innovative NLP developments.

As a data scientist at SupWiz, you will be working on our core products, building scalable AI pipelines across our product portfolio. You will be part of our highly skilled in-house team of software engineers and machine learning experts, but also working together with some of the world’s leading NLP researchers from e.g. University of Copenhagen and University of Edinburgh in our joint innovation projects (read more in Danish -

You will be doing

  • You will be working on a modern tech stack using Python, Pytorch, Django, Kubernetes, Docker, etc.

  • You will work with a high degree of freedom and responsibility. In return, we expect that you handle this freedom and responsibility well.

  • Working in the exciting are where research meets real-world application.

  • Developing methods for handling omni-channel customer service data in very diverse settings represented by the diversity in SupWiz’ clients.

  • Implementing NLP technology into SupWiz’ products in a scalable and resource-efficient way – not “just” performing experiments.

  • You will be building AI solutions deployed in production to a wide range of clients and improving the customer service experience for millions of end-users.

About you

  • Relevant education such as a master’s or PhD in computer science, mathematics, or software engineering.

  • You are well-versed in machine learning frameworks such as Pytorch, transformers, and/or Tensorflow.

  • You like working with a high degree of freedom and responsibility

  • You are passionate about not only machine learning, but also about writing elegant, scalable and maintainable code.

  • You thrive in an informal and changing environment

  • You are a team player who feels responsible for the overall goal and vision

Working at SupWiz

You will be joining an innovative tech team of dedicated, experienced, and world-class talented people and create products with potential to change how we all interact with systems and products we use every day.

In addition to delivering excellent products, our team is also characterized by a passion for playing board games, enjoying competitive games of Mario Kart, fun and friendly Friday bars, and traveling on company trips together.

We are located in Copenhagen and Aarhus and also offer opportunity for working remote. We have an international team, so feel free to apply with any background. Unfortunately, we don’t support visa and relocation.


To apply for this position, click the apply bottom and visit our website.

The position is full time. We will conduct interviews on a running schedule, so apply as quickly as you can.
If you have any questions regarding the position, feel to contact us at

About SupWiz

SupWiz delivers next generation AI software for customer service and support. This includes chatbots, analyzing of tickets, live chat, email-sorting, knowledge article matching, and much more. The solution for example enhances existing systems as Zendesk, Remedy and ServiceNow with advanced AI, algorithms, and machine learning. SupWiz' customers today include NNIT,, TV 2, FTFA, Stofa, and many more.

SupWiz was founded by world-leading AI researchers and our CEO has previously founded and built a global software company with great success.

*** Mention DataYoshi when applying ***

Offers you may like...

  • Deloitte

    Stagiaire Data Analyst / Data Scientist (H/F)
    92908 Paris
  • Applied Systems, Inc.

    Data Scientist
    Austin, TX 78701
  • ServiceNow

    Data Scientist (Security Research)
  • Alteryx, Inc.

    Staff Data Scientist
    Boston, MA
  • Elligo Health Research

    Data Scientist (Remote)