With a team of over 76,000 individuals representing more than 150 nationalities, we are a truly integral company driven by passion, innovation, and excellence.Across 73 countries and 1,000 locations, our teams bring energy, creativity, and commitment to delivering world-class travel retail and food & beverage experiences.We operate across multiple channels - including airports, motorways, cruise ships, ports, railways, and more - offering endless opportunities for collaboration and growth.
Our people are empowered to make an impact, supported by a culture that values teamwork, development, and innovation.Sustainability and social responsibility are embedded in our strategy, ensuring we grow in a way that benefits both our employees and the communities we serve.PURPOSEOFTHEROLEThe Loyalty Data Scientist plays a critical role in advancing Avolta's transformation from traditional reporting-led analytics to AI-powered, personalized traveler engagement at scale.
Leveraging Traveler360 data, this role develops and deploys advanced analytics, machine learning models,



and AI-driven decisioning capabilities that enhance loyalty performance, optimize customer experiences, and increase customer lifetime value.The position holder owns the end-to-end delivery of data science solutions and works closely with Loyalty, CRM, Digital, and Data teams to embed predictive insights and personalization across customer journeys, enabling more intelligent and data-driven business decisions.The role reports to the Director, Loyalty Analytics & Traveler Data and can be based in Madrid or Milan.RESPONSIBILITIESAdvanced Analytics & Machine Learning- Develop and deploy machine learning models supporting personalization, customer segmentation, churn prediction, recommendations, and customer lifetime value modeling- Build scalable, reusable analytics and AI assets for loyalty, CRM, digital, and commercial use cases- Monitor and continuously improve model performance and business impactPersonalizatio

📌 Data Scientist (España)
🏢 The Nuance Group
📍 España