paid / full-time / Wroclaw Poland
Description
Ryanair Holdings plc, Europe’s largest airline group, is the parent company of Buzz, Lauda, Malta Air & Ryanair DAC. Carrying over 154 m guests p.a. on more than 2,400 daily flights from 82 bases, the group connects over 200 destinations in 40 countries on a fleet of over 475 aircraft, with a further 210 Boeing 737’s on order, which will enable the Ryanair Group to lower fares and grow traffic to 200m p.a. by FY24. Ryanair has a team of over 19,000 highly skilled aviation professionals delivering Europe’s No.1 on-time performance, and an industry leading 34-year safety record. Ryanair is Europe’s greenest cleanest airline group and customers switching to fly Ryanair can reduce their CO ₂ emissions by up to 50% compared to the other Big 4 EU major airlines.
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 a variety of areas such as digital, logistics, predictive maintenance, and anything else that you may think of, or that will come your way.
Requirements
- Minimum 2 years of relevant work experience
- Masters, 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 grounding
- 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 recommender or ranking system
- 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 Interference
- Experience working with Shiny or Dash
- Experience working with Hadoop (HDFS, Spark, Impala, Hive) or cloud (e.g. AWS)
Benefits
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Contract of employment (permanent contract after trial period)
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Staff travel benefits
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Multisport card
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Private health care
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Office in the beautiful city centre
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Amazing atmosphere, Game Room
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Referral bonus system
Full Details
| Location: | Wrocław, Poland |
|---|---|
| Employment Type: | Full-time |
| Industry: | Airlines/Aviation |
| Function: | Science |
| Experience: | Associate |
| Education: | Unspecified |