In a nutshell

More information


Here’s a little taste of your challenge…

  • You will be analysing all internal knab and external data to gain fact based insights and algorithms for the entire organization;
  • You know or are keen on learning machine learning techniques;
  • You also know or are keen on learning how to put models into production;
  • You work in multidisciplinary teams.


The department Data, Analytics and Pricing consist of 15 young professionals with a big heart for Data. All communicative “beta nerds” who get energized by complex data challenges (and a Friday afternoon beer). By using advanced techniques the department supports all parts of Knab in strategic decision making for which a complete set of internal and external data sources can be tapped in to.

Your Profile

There is no set route to become a great Data Scientist at Knab. But to be successful in this role, this is the kind of profile we have in mind:

  • You have a degree in Computer Science, Statistics, Econometrics, Mathematics, or a similar quantitative discipline;
  • You have a deep understanding of numbers in combination with strong business acumen;
  • You have the technical competence to perform more advanced analytics like Random Forest, Support Vector Machines, Neural network, Deep learning, Markov etc.;
  • You have good coding skills, e.g. Python or AWS Sagemaker skills.


Note: You need to be eligible to work in the EU.


What we offer

Do you have what it takes to become Jr. Data Scientist at Knab, then we look forward to receiving your application and CV via this webpage. For more information, please contact Caroline Kiela at


More information

Application procedure

1. Intake (phone)
Intake (phone)
2. First interview
First interview
3. Second interview
Second interview
4. Offer
5. Pre-employment screening
Pre-employment screening
6. Whoo! New job!
Whoo! New job!

Apply for this job