WHO WE ARE
Avolta is the world’s leading travel experience player. With a traveler-centric philosophy and a geographically diverse network, the travel retail and F&B; company addresses the needs of up to 2.3 billion passengers each year, with 5,500 outlets in more than 75 countries across six continents. Guided by their Destination 2027 strategy and boosted by their recent combination with travel F&B; giant Autogrill, the company is well positioned to realize their ambition to create a Travel Experience Revolution through their many locations at airports, motorways, cruise lines, seaports and railway stations amongst others.
PURPOSE OF THE ROLE
The Global Data Scientist will be the technical leader responsible for developing advanced analytical models and machine learning systems that optimize pricing decisions and promotional strategies across 5,500+ locations with millions of SKUs globally. Your work will directly influence billions in revenue and millions in margin improvement. This is a hands-on technical leadership role where you will spend 60-70% of your time building models,



writing production-quality code, and architecting ML systems, with the remaining time on technical mentorship and translating complex models into actionable insights for commercial teams. Success in this position depends on deep technical expertise in pricing/revenue optimization, ability to ship production ML systems at scale, and effectiveness in communicating with non-technical business stakeholders. This role will be based either in Madrid or Milan with hybrid flexibility.
RESPONSIBILITIES
Advanced Modeling & Algorithm Development
- Develop price elasticity models using econometric techniques (regression, mixed effects models, instrumental variables) to estimate demand curves at SKU-category-location levels
- Build dynamic pricing algorithms that optimize prices in near-real-time based on competitor actions, demand signals, inventory levels, and strategic constraints
- Create price arch

📌 Global Data Scientist (Milano)
🏢 Avolta
📍 Milano