Data Science/ML engineer


At Charlin we're leveraging connected home devices and machine learning to build an affordable home solution which will empower the senior to enjoy home longer and will bring a peace of mind to their children. The accessible and smart system, discreetly drawn up in the home of the senior, records the behavioural patterns in the home and learns. Charlin is the first system that watches 24/7 without the necessary intervention of the elderly or a caring person. The system automatically registers and reports via a smartphone application to as many persons as desired, the care circle.

By combining the brand, company and values of Belfius, together with an entrepreneurial team, we leverage both the strengths of a bigger organisation with the agility of a startup in this new coporate venture.


We aim to launch in Q4 2019.  Are you ready to join this adventure as a DataScience/ ML Engineer? 

Find out more here below.


  • You are a computer scientist with an analytical mindset, a deep understanding of machine learning and provable hands-on programming experience. You are passionate about computer science, software architecture and creating robust and scalable data solutions

  • You will be building & improving the data science/machine learning component of an IOT software platform & application with high societal impact. You will also be responsible for the data processing pipelines for Machine Learning and are responsible for deploying ML models into production

  • You love learning and working in a high growth company with a new challenge every day

  • Your programming experience will allow you to closely collaborate with back-end developers to improve our models and push them through our release process

  • You understand the importance of code quality including testing, code clarity and documentation

  • You learn new components and technologies incredibly fast and continuously learn


You have a Bachelor or Master’s degree in computer science, mathematics, engineering, computer linguistics, or a related field

  • You have provable experience in machine learning and have a thorough understanding of statistical learning techniques

  • You have good knowledge of and experience with Python

  • You have experience with databases like Postgres, MongoDB and time-series databases 

  • You have a practical mindset and are willing to get your hands dirty. You understand the difference between fundamental research and data driven development.

  • You consider yourself a healthy mix between a machine learning expert, a software engineer, a researcher, and a hacker.

  • You are fluent in English.

  • You like interacting with people and meeting customers and can explain difficult concepts in easy terms

  • You can work independently and take matters into your own hands.

  • The ability to quickly learn new technologies and successfully implement them is essential.

Optional experience (considered as a strong plus):

  • (Product) startup experience

  • Having worked with AWS 

  • Experience with Javascript

  • Experience with working in Jira/Confluence and agile development is a big plus.


Feeling overwhelmed by the requirements?

Don't be, we prefer motivation above experience. As long as you have the correct can-do mindset you can't go wrong.