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Lead Data Scientist - Customer Data Science

https://www.tui.com Logo

TUI

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Location:
United Kingdom; Germany; Netherlands; Belgium; Sweden , Luton

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

Join our innovative team at TUI and lead the transformation of our operations through cutting-edge data science solutions. As our Lead Data Scientist, you'll lead and further develop an international data science team while partnering with business and technology teams to deploy solutions that drive significant commercial value.

Job Responsibility:

  • Take accountability for delivering data science solutions that step-change our capability for key value-driving functions within Markets & Airlines
  • Identify opportunities and lead the design, development, and implementation of solutions
  • Lead and further develop an international team of data scientists
  • Develop and manage a multi-year roadmap
  • Establish frameworks for estimating business impact, tracking success metrics, and quantifying the ROI of data science initiatives
  • Translate complex analytics into clear and compelling business narratives
  • Ensure the successful deployment of solutions, with robust automated processes for ongoing model maintenance, monitoring, and operational performance
  • Work closely with technology teams to ensure data science solutions are built on scalable cloud-based data and deployment architectures

Requirements:

  • Proven leadership experience in complex, international organisations
  • Extensive track record in leading the development and implementation of end-to-end data science solutions
  • Exceptional stakeholder management abilities
  • Deep technical expertise in data systems and cloud technologies
  • Proven knowledge of machine learning algorithms, optimisation, statistical analysis, and business modelling
  • Exceptional analytical and problem-solving skills
  • Proficiency in programming languages such as Python, R, or similar
  • Experience working within production-oriented data science environments
  • Relevant educational qualifications in Mathematics, Data Science, Statistics, Computer Science, or related field
What we offer:
  • Attractive remuneration
  • Discretionary bonus schemes
  • Generous travel benefits
  • Extensive health & well-being support
  • Flexible working
  • Access to the TUI Learning Hub
  • Opportunities to work on global projects and teams
  • Involvement with local charity and sustainability initiatives

Additional Information:

Job Posted:
March 21, 2026

Expiration:
April 01, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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