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Data Scientist

Posted 26 Mar 2026
Share:
Work experience
1 to 8 years
Full-time / part-time
Full-time
Job function
Degree level
Required languages
English (Fluent)
Dutch (Fluent)
Deadline
6 April 2026

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Are you passionate about solving complex business problems through innovative data science solutions? Join our global technology team at TUI Group, the world's number one integrated tourism business. As a Data Scientist, you'll be instrumental in developing sophisticated algorithmic solutions that drive business value across our international markets while working in a dynamic, multi-disciplinary environment. You'll collaborate with experts across Architecture, Engineering, DevOps, and Agile Delivery to create data-driven solutions that enhance customer experiences and optimize business operations throughout the UK, Ireland, Scandinavia, Germany, Belgium, and the Netherlands.

We are happy to consider this opportunity on a hybrid working model basis in line with local office attendance requirements. International travel should be expected so flexibility is required in this regard.

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

  • Create and deliver sophisticated algorithmic solutions to complex business problems across multiple teams and markets.
  • Develop, train, deploy, and monitor models using tools like Docker, Airflow, MLflow, and SageMaker.
  • Work with Data Lakes, Data Warehouses (including Snowflake), and various data structures to source required information.
  • Communicate effectively with both technical and non-technical stakeholders, breaking down complexity through clear explanations and data visualizations.
  • Research and evaluate new developments in data science, including statistical models, machine learning, LLMs, and optimization algorithms.
  • Contribute to the data science community at TUI, sharing knowledge and driving technical excellence.

About you

  • You have a degree or equivalent experience in computer science, mathematics, or a subject involving similar analytical skills.
  • You have hands-on experience with model development, training, deployment, and monitoring using tools like Docker, Airflow, MLflow, or SageMaker.
  • You're proficient with Python, SQL, and data visualization tools, with the ability to produce production-quality code.
  • You understand Data Lakes, Data Structures and Warehouses including Snowflake, and are familiar with DevOps practices and AWS cloud solutions.
  • You have excellent communication skills, breaking down complex solutions for both technical and non-technical stakeholders.
  • You're open-minded, inquisitive, and a life-long learner who's comfortable with ambiguity and works autonomously.

Security clearance statement

At TUI, safety is our top priority. We conduct thorough background checks on all employees who join our Airline.

Please note that if you are applying for a role in the UK, you must ensure you can provide a full 5 years referencing, plus a criminal record check for all countries you’ve resided in for more than 6 months in the past 5 years (some costs may apply).

Wij zijn een van ’s werelds toonaangevende toerismegroepen met 1200 reisbureaus en online portalen, vijf luchtvaartmaatschappijen met ongeveer 130 vliegtuigen, meer dan 400 hotels, 16 cruiseschepen, digitale platforms voor excursies en activiteiten en, het belangrijkst van alles, meer dan 65.000 collega’s over de hele wereld. Wat ons verenigt, is het creëren van momenten die het leven van onze 20 miljoen klanten verrijken.

Leisure, Travel & Tourism
Palma
Active in 49 countries
65,000 employees
50% men - 50% women
Average age is 30 years