Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist

TUI Cruises GmbH
Luton
1 week ago
Create job alert

TUI Group is the world’s number one integrated tourism business. The Data Science team is a global team within TUI responsible for Data Science solutions for Customer, E-commerce and Digital Marketing. We are a team of experts within Data Science and Agile Delivery providing services across the UK, Ireland, Sweden, Norway, Denmark, Finland, Germany, Belgium and The Netherlands. At TUI we’re ambitious to become the leader in technology within the travel industry and to achieve this we are looking to build a capable, creative team who want to be a part of accomplishing that goal. We never stop looking ahead, seeking new ways to delight our customers and grow our business. We recognise the power of digital and the massive contribution this brings to creating a truly unique and differentiated customer experience.

As a Senior Data Scientist in the Customer and Digital Analytics team, you will investigate, define, develop and deliver innovative, solutions to complex business problems using the latest techniques. This role will focus significantly across our digital channels, developing advanced user recognition and personalisation through the customer journey that drives increased conversion and sales value. You will operate at all stages of the development lifecycle from idea generation to testing, implementation and ensuring business value across different business areas and markets. You will ensure that solutions are rigorously tested, deliver business value and are then optimised over their lifecycle. We expect solutions to make use of sophisticated algorithms whilst enabling high levels of decision-making transparency and user control.

Please note the application closing date is Friday 5th August

ABOUT THE JOB

  • Drive data-informed decisions by blending deep business know-how with advanced analytics & clear visualisations to surface actionable insights.
  • Shape analytics features & strategy — segmentation, identity mapping, personalisation, NLP, attribution & campaign optimisation — sizing impact and guiding prioritisation.
  • Scope problems & architect solutions — define requirements / success metrics, select the right statistical or ML approach, and plan rigorous testing & deployment.
  • Build, test & refine models in collaboration with data engineering, ensuring accuracy, transparency and governed behaviour.
  • Productionise at scale — deliver resilient, low-latency pipelines that serve millions of real-time customers while meeting security & privacy mandates.
  • Continuously optimise & A/B/n-test recommendation and marketing capabilities to hit CTR, conversion, revenue & margin targets.
  • Champion data science in agile teams - curate data sources, drive cross-functional delivery, communicate insights up to director level, and foster a learning community.

ABOUT YOU

  • PhD or Master’s in a quantitative field (Maths, Statistics, Computer Science, Physics, Marketing Analytics, Business Informatics, etc.), ideally with a data science or machine learning component
  • End-to-end ownership of personalisation & recommender systems.
  • Building customer/behavioural segmentation, lifetime-value & propensity models.
  • Expertise in marketing attribution, uplift modelling, funnel analysis, and churn prediction.
  • Designing, running and analysing A/B tests and multi-armed bandits for measurable incremental lift
  • Considerable practical experience of common data science technical skills: coding in Python (required), SQL (required), AWS Sagemaker, GitHub
  • Strong practical experience of cloud-based data processing: AWS (ideally) including ML services such as Sagemaker and wider technologies, Snowflake
  • Strong understanding of data architectures with Data Lakes, Data Warehouses and different data modelling structures
  • Familiar with agent frameworks, RAG pipelines, vector databases (Pinecone, FAISS), prompt engineering, and responsible-AI best practices.
  • Proven leadership of agile, cross-functional squads, mentoring data scientists, analysts & engineers.
  • Clear communicator who translates model metrics into ROI-driven narratives.

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.

#LI-MB2 #LI-Hybrid


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist Consumer Credit

Senior Data Scientist

Senior Data Scientist Consumer Credit

Senior Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.