We are looking for a Data Science Consultant

Are you a Data Science Consultant? Would you like to join our team? So this is for you!

We are currently looking for a result-oriented data scientist who wants to work on concrete client projects related to model risk management. This will include both projects where you build ML algorithms that are deployed in a high-risk context as well as projects where you will validate and monitor models to determine whether an existing algorithm works as expected. As a data science consultant you will interact intensively with the development team, both providing invaluable input related to feature requests as well as feedback on existing functionality. As a consequence you will be contributing to our model risk management platform tackling one of the greatest challenges in machine learning.

This position will include some travel to client sites.


● At least 3 years of hands-on experience with the mainstream ML techniques

● Proficiency in Python and TensorFlow

● Experience with Jupyter Notebooks or JupyterLab

● Master or PhD in an applied quantitative field

● Fluency in English


● Experience in quantitative software development

● Background in consulting

● Positive and creative mindset

● Pragmatic & client focussed

Our offer

● Work with a world class team of senior developers and data scientists to solve one of the most important problems in machine learning.

● Early stage competitive base salary with strong bonus and equity component.

●Become part of the dynamic start-up community in Belgium. Possibility to work remotely for a significant portion of the time.

Start date

Flexible, but preferably around June 1 2019

How to apply

Mail your resume and cover letter to hr@yields.io

KBC innovation fair

Yields.io was present at the KBC innovation fair organized by Surf Studio.


Yields has been selected in the 2017 IMEC.iStart accelerator program!

Interested in a demo?

Lorem ipsum dolorem et arceopara bellum. Lorem ipsum dolorem et arceopara bellum. Lorem ipsum dolorem et arceopara bellum.