Lead Data Scientist (Pricing & Promotions)

TL;DR

Lead Data Scientist (Pricing & Promotions): Developing advanced analytical models and machine learning systems to optimize pricing decisions and promotional strategies across 5,500+ global locations with millions of SKUs. Focus on building price elasticity models, dynamic pricing algorithms, causal inference for promotions, and deploying production ML pipelines with monitoring and retraining.

Location: Based in Madrid (Spain) or Milan (Italy) with hybrid flexibility

Company

World’s leading travel experience player operating 5,500 outlets in 75+ countries, serving 2.3 billion passengers annually in travel retail and F&B at airports, motorways, and more.

What you will do

• Develop price elasticity, dynamic pricing, and margin optimization models using econometric techniques and ML.
• Build causal inference and promotion ROI models to recommend optimal promotions, timing, and segments.
• Implement models in Python with data pipelines (Airflow, Spark) and deploy to production (AWS/GCP/Azure) with MLOps.
• Mentor data scientists, conduct code reviews, and set technical standards.
• Translate model insights into actionable recommendations for commercial teams and present to C-suite.
• Design A/B tests, build dashboards (Tableau, Power BI), and partner with regional teams on market dynamics.

Requirements

• Based in Madrid or Milan with hybrid flexibility
• MS/PhD in quantitative field or Bachelor's +8 years data science; expert Python (pandas, numpy, scikit-learn, statsmodels), advanced SQL.
• 6+ years data science, 3+ years in pricing/revenue optimization; hands-on production ML deployment.
• Strong statistics/econometrics, ML fundamentals, causal inference, experimentation.
• ML engineering: cloud platforms, MLOps; excellent English communication for non-technical stakeholders.
• Proven business impact in pricing models (€/$ millions revenue/margin).

Nice to have

• PhD in Economics/Operations Research focused on pricing.
• 8+ years experience progressing to lead/principal; top-tier tech or high-growth startups.
• Large-scale pricing systems (billions GMV); reinforcement learning for pricing.

Culture & Benefits

• Global team of 76,000+ from 150 nationalities, driven by passion, innovation, excellence.
• Traveler-centric philosophy with Destination 2027 strategy post-Autogrill merger.
• Hybrid flexibility in Madrid or Milan offices.