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.
The 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.
Advanced 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 impact
Translate analytical insights into targeted CRM campaigns, lifecycle journeys, and digital personalization strategies
Partner with Loyalty, Marketing, and Digital teams to embed AI-driven decisioning into customer interactions
Lead experimentation initiatives, including A/B testing, to optimize engagement, retention, conversion, and ROI
Identify opportunities to drive cross-sell, up-sell, and retail media performance through advanced analytics
End-to-End Data Science Delivery

Own the full data science lifecycle, from problem definition and feature engineering through deployment and business activation
Collaborate with Data Engineering and Platform teams to develop scalable data pipelines and production-grade machine learning solutions
Leverage integrated Traveler360 data to generate predictive insights and actionable business recommendations
Ensure high standards of data quality, governance, and analytical rigor
Act as a trusted advisor to Loyalty, CRM, Digital, and Commercial stakeholders
6–10 years of experience in Data Science, Machine Learning, or Advanced Analytics.

- Proven track record of delivering and scaling machine learning solutions in production environments
- Experience in customer analytics, loyalty, CRM, digital personalization, or related consumer-focused industries

Strong knowledge of machine learning techniques, including predictive modeling, clustering, recommendation engines, and customer analytics
Advanced proficiency in Python and SQL
Experience working with modern data platforms such as Snowflake, Databricks, or similar cloud environments
Familiarity with experimentation frameworks, including A/B testing, is highly desirable
Self-driven, hands-on, and comfortable leading complex initiatives in a global matrix organization

📌 Data Scientist & Innovation (Madrid)
🏢 The Nuance Group
📍 Madrid