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 Integral 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. 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. This role will be based either in Madrid or Milan with hybrid flexibility .
Build dynamic pricing algorithms that optimize prices in near-real-time based on competitor actions, demand signals, inventory levels, and strategic constraints
Create promotion planning optimization algorithms that maximize ROI under budget constraints while avoiding overlap
Implement models using Python (pandas, scikit-learn, statsmodels, PyMC3, XGBoost) with production-quality code
Build robust data pipelines (Airflow, Spark) for pricing, sales, competitor, and promotional data at scale
Deploy models to production (AWS/GCP/Azure) with proper monitoring, alerting, and automated retraining workflows
Set technical standards for data science work: code quality, testing, documentation, peer review processes
Conduct thorough code reviews for other data scientists, providing constructive f

📌 Data Analysis Scientist (Madrid)
🏢 Avolta
📍 Madrid