As you will be working on our core product you will be working on real world problems which directly affect millions of consumers daily.

Your responsibilities will cover challenges facing all areas of the business in a cross functional team. We have a wide range of data sets both structured and unstructured from a variety of sources both real time and batch data coming from search, recommendations and supplier on-boarding. You will have project ownership from end-to-end and work on full stack data sciwnce lifecycle including modelling, deployment, A/B testing and feedback loops.


We are an online marketplace in the travel industry and have been well covered in the press for our growth, investment and domination of the sector in Europe. We now have 100s of people working in our Berlin office and big expansion plans for the future as we go from continental leader to global leader.


  • Take your ideas from design to production through gathering and cleaning data and designing models.
  • Deploy machine learning models into production which will enhance our customer’s experience of our product and enhance the business’ profit potential
  • Build data pipelines to improve and maintain your algorithms
  • Analyse big data to identify new opportunitiesContribute in developing our machine learning infrastructure and best practices


  • Very experienced with Machine Learning techniques including classical machine learning aproaches behind regression models, recommedation models, classification models and so on.
  • Have deployed Machine Learning models into production.
  • Good knowledge of programming languages we use such as Scala and or Python.
  • Able to work with Spark with help you hit the ground running as we use it for our highly distributed platform.
  • Have worked in an environment where you have had an input in the analytics from your data having used analytics tools pandas, R, SQL.


  • Industry leading team from some of the best online product companies so you can learn from each other and work in a highly competent environment
  • Encouraged to take¬†ownership so you can take pride in your achievements here.
  • Work on a platform which impacts millions of customers around the world
  • Virtual stock options
  • Community engagement – Hackathons, weekly tech talks, external training budgets.
  • Excellent learning and development opportunities – we have a clearly defined career and salary ladder
  • Company product credit and free German lesson
  • Relocation support package

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