Pricing & Revenue Forecasting Data Scientist

Tamarind Intelligence; Madrid; Híbrido; EUR 55.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work up to 3 days remote

Training and certifications support

Career growth opportunities

Travel discounts

Descripción de la vacante

Ryanair Labs in Madrid is hiring a Data Scientist to design and implement advanced models for pricing, segmentation and forecasting. You will independently scope analyses, apply ML techniques to forecast demand, and identify pricing opportunities.

Strong communication and mentoring skills are essential to translate insights for diverse stakeholders. Join a multi-office BI team and contribute to Europe's Largest Airline Group with a hybrid work model in Madrid, enabling collaboration across

Formación

• 3 years of professional data science experience.
• Experience in commercial pricing or revenue optimization is a plus.
• Strong communication skills for cross-functional collaboration and presentations.

Responsabilidades

• Lead design and deployment of advanced models and algorithms for pricing, segmentation, or forecasting.
• Independently scope analyses of performance metrics and identify key questions.
• Apply statistical techniques and ML to analyze historical data and forecast demand.
• Analyze revenue impact, price elasticity, and customer segmentation to drive strategy.
• Communicate findings clearly to technical and non-technical stakeholders.
• Mentor teammates and share best practices in analytics and visualization.

Conocimientos

Python

SQL

Databricks

Cloud basics

ML techniques

Gen AI

Data storytelling

Educación

Data Science degree

Descripción del empleo

Ryanair Labs in Madrid is hiring a Data Scientist to design and implement advanced models for pricing, segmentation and forecasting. You will independently scope analyses, apply ML techniques to forecast demand, and identify pricing opportunities.

Strong communication and mentoring skills are essential to translate insights for diverse stakeholders. Join a multi-office BI team and contribute to Europe's Largest Airline Group with a hybrid work model in Madrid, enabling collaboration across