Loyalty Data Scientist

WHO WE ARE

At Avolta (SIX: AVOL), our people are at the driving force behind our success. With a team of over 76,000 individuals representing more than 150 nationalities, we are a truly global company driven by passion, innovation, and excellence.

Born from the combination of Dufry and Autogrill, Avolta is redefining the travel experience through the dedication and expertise of our diverse workforce. 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.

Are you looking for a dynamic, international career where your contributions truly matter? Join Avolta and be part of a team that’s shaping the future of travel - together.

PURPOSE OF THE ROLE

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.

RESPONSIBILITIES

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

Personalization & Loyalty Activation

• 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
• Support the industrialization of analytics through automation, reusable components, and always-on decisioning capabilities

Traveler360 Insights & Innovation

• Leverage integrated Traveler360 data to generate predictive insights and actionable business recommendations
• Identify new opportunities to enhance personalization, loyalty effectiveness, and customer engagement
• Ensure high standards of data quality, governance, and analytical rigor

Stakeholder Partnership

• Act as a trusted advisor to Loyalty, CRM, Digital, and Commercial stakeholders
• Translate complex analytical findings into clear and actionable business outcomes
• Contribute to the evolution of Avolta's loyalty analytics, personalization, and AI roadmap

WHAT WE ARE LOOKING FOR

Experience

• 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

Technical Expertise

• 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

Business & Leadership Capabilities

• Ability to translate analytics into measurable business outcomes, including engagement, retention, conversion, and customer lifetime value growth
• Strong stakeholder management and communication skills, with the ability to influence both technical and non-technical audiences
• Self-driven, hands-on, and comfortable leading complex initiatives in a global matrix organization

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We look forward to connecting with you soon!