Senior Data Scientist

Join our Customer Data Science & AI team and help shape the future of personalization, recommendations, and customer analytics at TUI. Reporting to the Lead Data Scientist, you'll play a key role in turning complex business challenges into scalable, data-driven solutions that improve customer and business outcomes.

• Senior Data Scientist
• Luton, Groot-Brittannië
• Rijswijk, Nederland
• Hybride
• Vaste functie
• Voltijd
• As per local market conditions

The role will be published until 5th November 2026.

ABOUT OUR OFFER

• Personal benefits: Attractive remuneration, discretionary bonus schemes, generous travel benefits, extensive health & well-being support, and more.
• Flexible working: Work is something you do, not somewhere you go. We encourage a healthy work-life balance with a dynamic working environment.
• A career to shape: Access the TUI Learning Hub to level-up and reach your ambitions.
• Broaden your network: We champion intercultural collaboration and provide opportunities to work on global projects and teams
• Community: Get involved with incredible local charity and sustainability initiatives like the TUI Care Foundation.

ABOUT THE JOB

• You'll develop advanced machine learning models and AI solutions that solve complex business challenges and deliver measurable value across TUI.
• Working across the full data science lifecycle, you'll translate business needs into technical solutions, from exploration and feature engineering through to deployment, monitoring and optimisation.
• You'll partner with stakeholders across analytics, technology, engineering and business teams to turn data into actionable insights and recommendations.
• By collaborating closely with engineering teams, you'll help integrate models into production environments and support scalable, reliable AI solutions.
• You'll explore emerging technologies, evaluate new tools and methodologies, and contribute innovative ideas that strengthen our data science capabilities.
• Beyond delivering impactful solutions, you'll mentor colleagues, share knowledge across the team and help build reusable frameworks, components and best practices.

ABOUT YOU

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum 3+ years of experience applying data science and machine learning to real-world business problems.
• Strong expertise in machine learning algorithms, statistical methods and analytical problem-solving enables you to tackle complex challenges with confidence.
• You'll bring advanced Python programming skills and experience working with modern data science libraries and tools, Strong Python and SQL skills.
• Experience across the end-to-end data science lifecycle means you're comfortable moving from discovery and experimentation to production deployment.
• Experience with predictive modelling, recommendation systems, personalization, customer analytics, or similar use cases. Understanding of experimentation and A/B testing.
• You're able to communicate complex technical concepts clearly and adapt your approach for both technical and non-technical audiences. Strong communication and stakeholder management skills.
• Experience on these would be an advantage: cloud platforms (AWS), Snowflake, or MLOps, GenAI, LLMs, RAG, or related AI technologies and travel, e-commerce, retail, CRM, or loyalty domains.