Mid/Senior Data Scientist

  • Anywhere

Ryanair Labs is the technology brand of Ryanair. Labs is a state of-the-art digital & IT innovation hub creating Europe’s Leading Travel Experience for our customers. The Ryanair platform has over 1 billion visits per year. By joining Ryanair, you will develop cutting edge tech solutions inside Ryanair, transforming aviation for Pilots, Cabin Crew & Ground Ops, as well as driving the tech experience for our customers on Europe’s largest travel website!

Ryanair Labs has more than 550 employees across our offices in Dublin, Madrid, Poland, and Portugal. Our plan is to continue to grow our IT Labs Team so we are always on the lookout for the best talent. Apply today for more information.

The Role

We are looking for a Data Scientist to work in a multi-disciplined team, working alongside Developers, Designers and Product Owners, who will own their work from the initial idea to the final implementation. The role will allow for opportunities to work in projects for Commercial Department.


  • Relevant work experience
  • PhD, or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
  • Proven problem solver – the ability to come up with unique solutions to unique problems
  • Professional experience in working with large data sets
  • Strong programming skills in at least one of analytical frameworks in R (tidyverse, mlr) or Python (pandas, NumPy, SciPy)
  • Strong statistics ground
  • Broad knowledge of Machine Learning topics (clustering, forecasting, classification, anomaly detection)
  • Able to conduct statistical experiments to measure the effectiveness of our analytic products
  • Experienced in visualization techniques
  • Proven track record of being able to deliver insight with the ability to visualize and explain a model to a target audience
  • Experience implementing a real-world projects in commercial area
  • Fluent in English

Additional Qualifications:

  • Ability to translate complex problems in layman’s terms
  • Comfortable in applying operational research methods
  • Familiar with NLP, Deep Learning, Bayesian Inference
  • Experience working with Shiny or Dash
  • Experience working with Hadoop (HDFS, Spark, Impala, Hive) or cloud (e.g. AWS)


Contract of employment (permanent contract after trial period)

  • Possible hybrid model (2 days from the office in a week)
  • Option to participate in trainings and conferences
  • Staff travel benefits from day one
  • Creative work tax deduction
  • Multisport card
  • Private health care
  • Group insurance scheme

– – – or – – –


  • Full remote
  • Possible permanent place in the office

– – –

Other benefits:

  • Possibility to meet your colleagues in other offices
  • Annual events (i.e. St.Patrick’s Day)
  • Regular social meetings
  • Paid referral system
  • New office building surrounded by great dinettes right in the city centre