Key Skills
Job Description
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. 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. From a workplace to a place to belong. At TUI we embrace diversity, equity, and inclusion, encouraging everyone to come as you are, because together, our potential is limitless. We are committed to supporting candidates with disabilities and impairments so if you require any support, please do let us know.
Core Responsibilities
Develop and deploy advanced machine learning models and AI solutions across the data science lifecycle, from exploration and feature engineering to production monitoring and optimization. Collaborate with business, analytics, technology, and engineering stakeholders to deliver measurable insights and recommendations, while mentoring colleagues and contributing reusable frameworks and best practices.
Requirements
Requires a bachelor's or master's degree in a quantitative field and at least three years of experience applying data science and machine learning to business problems. Candidates should have strong Python and SQL skills, expertise in machine learning and statistical methods, end-to-end lifecycle experience, relevant modeling or customer analytics experience, and the ability to communicate effectively with technical and non-technical stakeholders.
Benefits
- Attractive Remuneration
- Discretionary Bonus Schemes
- Travel Benefits
- Health and Well-Being Support
- Flexible Working
- Learning and Development Opportunities
- Global Project Opportunities
- Charity and Sustainability Initiatives
About TUI
Industry: Hospitality
Company size: 10,001+ employees
We’re adventure seekers. Smile givers. Impact makers. We believe in the power of travel. It broadens horizons for our customers, and for our people too. New places to live, new roles to explore, new communities to join. It’s yours for the taking. We’re TUI, a leading global travel and leisure experience company that makes holiday dreams come true for people around the world. We are one of the world’s leading tourism groups counting 1200 travel agencies and online portals, five airlines with around 130 aircraft, over 400 hotels, 16 cruise liners, digital platforms for tours and activities and most importantly over 60 000 colleagues around the world. What unites us is creating moments that enrich the lives of our 21 million customers. Beside the unforgettable experience we provide our customers, we also believe in the good that tourism can bring and we care deeply about our environmental impact. The TUI Care foundation has projects in over 30 countries worldwide, building on the potential of tourism as a global force for development. The Foundation opens up new perspectives through education and training, empowers local communities to benefit from the success of tourism and engages in the protection of nature and the environment. At TUI we simply say “Let’s TUI it”. For us, that means creating happiness. Tackling challenges every day together, with a positive, can-do attitude, and finding solutions even for the most unexpected situations. Our teams across TUI are just as diverse as our destinations. So whether you have lots of experience or none at all. If you want to work in an office or feel best in the field. No matter if you’re an accomplished tech whizz, an aspiring entertainer, or simply in love with flying. There’s a place for you here.