Data Scientist

Ryanair Ltd.; Madrid; Híbrido; EUR 40.000 - 60.000; Jornada completa

Descripción de la vacante

Ryanair Labs seeks a Data Scientist to join their innovative team in Madrid. This role involves tackling complex challenges and developing impactful solutions using data. Ideal candidates will have a strong background in programming, statistical analysis, and machine learning, contributing to the enhancement of Ryanair's services.

Servicios

Optional discounts on health insurances

Flexible technical career plan

Formación

• Experience working with large datasets.
• Familiarity with analytical packages (pandas, NumPy, SciPy, scikit-learn).
• Experience implementing real-world projects in a commercial context.

Responsabilidades

• Develop solutions for high-impact commercial projects.
• Analyze complex data to drive business decisions.
• Design experiments to measure model impact.

Conocimientos

Problem-solving

Programming in Python

Statistical analysis

Data visualization

Machine Learning

Educación

Bachelor’s degree in a quantitative field

Herramientas

SQL

Git

Docker

AWS

Databricks

Azure

Descripción del empleo

Ryanair Labs is the technology brand of Ryanair, serving as a start-up within a corporation and a state-of-the-art digital & IT innovation hub creating Europe’s leading travel experience for customers. More than 600 IT enthusiasts work on 30+ projects across our Labs in Dublin, Madrid, Wroclaw, and Portugal, making travel unique for our customers. As we continue to expand, we are seeking top IT talent from the European market to join our Labs.

The Role:

We are looking for a Data Scientist to join a multidisciplinary team addressing complex, unresolved challenges with significant potential business impact across the Ryanair network. You will be responsible for your work from ideation and problem definition to implementation, developing solutions for high-impact commercial projects.

Requirements

• Bachelor’s degree or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.).
• Proven problem-solving skills with the ability to develop unique solutions for unique problems.
• Professional experience working with large datasets.
• Strong programming skills in Python and familiarity with analytical packages (pandas, NumPy, SciPy, scikit-learn, etc.) and SQL.
• Solid statistical background with the ability to substantiate findings through rigorous statistical analysis.
• Adherence to good coding practices (OOP, code review, unit testing, PEP8 guidelines, etc.).
• Basic knowledge of version control systems (e.g., Git) and DevOps tools (e.g., Docker, CI/CD).
• Broad knowledge of Machine Learning topics such as clustering, forecasting, classification, regression, and anomaly detection.
• Experience in designing experiments to measure model impact against company goals.
• Proven ability to deliver insights, visualize data, and explain models to target audiences.
• Experience implementing real-world projects in a commercial context.

Nice to have:

• Experience in pricing strategies.
• Experience with real-time data projects.
• Knowledge of PySpark.
• Experience with cloud technologies (AWS, Databricks, Azure, etc.).
• Experience in causal inference.
• We promote innovation; all our teams are Agile, and we launch PoCs of new technologies or ideas weekly.
• A competitive yet flexible technical career plan.
• We support a hybrid working model, allowing up to three days remote work per week, complemented by our modern offices in Madrid.
• Optional discounts on health insurances from various providers.