The Travel Corporation
Data Scientist
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Data Scientist
Vacancy Information
- Location: London, UK
- Salary: Competitive
- Working Pattern: Hybrid, 3 days per week in the office
- Contract Type: Permanent
- Working Hours: Monday to Friday
At TTC, we are Enriching lives by connecting people and places.
For over 100 years, we’ve been bringing the world closer together by crafting journeys that create lasting memories, lifelong friendships and meaningful cultural connections. Across more than 70 countries and our award-winning brands, we design and deliver travel experiences that go beyond sightseeing - they change perspectives.
Behind every unforgettable journey is a passionate team making it happen. That’s where you come in.
Our Values
Five shared commitments shape how we work, and how we will work with you:
- Value Every Voice. We put people first.
- Act with Integrity. We do what is right.
- Explore Beyond Boundaries. We are driven by curiosity.
- Own the Outcome. We take responsibility for our decisions.
- Succeed Together. We have each other's backs.
The Role
This is applied data science. You will use advanced analytics and machine learning to understand our customers better and solve problems that genuinely matter to the business, working with customer, booking, digital, marketing and behavioural data.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
You will work across segmentation, propensity, personalisation, retention, forecasting and customer lifetime value, with the space to explore and the support to grow. What matters here is not building technically interesting models, but connecting rigorous analytical work to decisions, actions and outcomes you can point to. You will sit alongside experienced data scientists, engineers and analysts in a capability that is being built and scaled right now.
What Will You Do?
- Turn customer and commercial challenges into structured analytical problems and testable hypotheses.
- Explore complex behavioural and transactional data to find what others have missed.
- Develop and evaluate statistical and machine learning models.
- Build segmentation, propensity, forecasting and personalisation solutions that reach real customers.
- Apply rigour to feature engineering, validation and model performance.
- Design and evaluate experiments to understand genuine impact.
- Work with Data Engineering to create reliable model inputs and productionise valuable solutions.
- Monitor solutions in the wild and keep improving them.
- Communicate findings clearly to both technical and business audiences.
- Contribute to data science standards, reproducibility and responsible AI practice.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
About You
Essential
- Strong professional experience in data science or advanced analytics.
- Advanced practical capability in Python and SQL.
- A strong grounding in statistics and machine learning.
- Experience developing and validating predictive models.
- Experience with customer, transactional, behavioural or digital data.
- Understanding of experimentation and statistical measurement.
- Analytical curiosity paired with pragmatic commercial judgement.
- The ability to explain complex analysis clearly and connect it to business action.
Desirable
- Exposure to segmentation, propensity, churn, forecasting, lifetime value or personalisation.
- Experience with Snowflake, cloud data science environments or production machine learning.
- Familiarity with responsible AI principles and reproducible practice.
- Experience in a global, multi-brand or multi-market business.
- Curiosity about travel, hospitality or global consumer businesses.
Apply Now
If you want to build your data science career on data this rich, we would like to hear from you. Apply today, and tell us about a problem you enjoyed solving.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location