Ryanair Labs are currently recruiting for a Data Scientist to join Europe's Largest Airline Group
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 role sits inside the BI team in Ryanair Labs. The BI team is composed of 95+ professionals across Dublin, Madrid, and Wroclaw, including Data Analysts, Data Scientists, Data Engineers, Optimization Engineers, Data Modellers, BI Analysts, BI Reporters, and BI Developers.
The Role:
- Lead the design, development, and implementation of advanced pricing models and algorithms to optimize pricing strategies across ancillary products.
- Utilize sophisticated statistical techniques and machine learning algorithms to analyze historical pricing data, forecast demand, and identify pricing opportunities.
- Conduct in-depth analysis of pricing performance metrics, including revenue impact, price elasticity, and customer segmentation, to assess the effectiveness of pricing strategies and drive continuous improvement.
- Mentor and collaborate with team members, providing guidance on best practices, analytical methodologies, and data visualization techniques.
Requirements
- Relevant Degree in Data Science or a related field; Masters or PhD preferred.
- 3+ years of professional experience in Data Science roles.
- Commercially astute with the ability to recognize project value; experience in a Commercial department is essential. Experience in product pricing is desirable.
- Proactive self-starter, demonstrating initiative and diligence daily. Ability to generate ideas and take ownership of tasks.
- Excellent communication skills, with experience presenting to multiple teams across different locations.
- Strong Python skills are essential.
- Proficiency in SQL for data extraction from Data Warehouses.
- Experience building and deploying predictive models, with knowledge of machine learning techniques such as clustering, forecasting, classification, and anomaly detection.
- Extensive experience with Excel spreadsheets.
- Ability to create clear, impactful slide decks to summarize analyses for diverse audiences.
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