At a Glance
- Tasks: Use data science to solve real business problems and enhance customer experiences.
- Company: Join a leading travel company with over 100 years of enriching lives.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborate with a passionate team and explore the world of travel.
- Why this job: Make a tangible impact by applying advanced analytics in a dynamic environment.
- Qualifications: Experience in data science, Python, SQL, and a passion for problem-solving.
The predicted salary is between 63000 - 77000 £ per year.
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.
Our Values
- 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. 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.
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.
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.
Data Scientist employer: The Travel Corporation
The Travel Corporation is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a strong emphasis on employee growth, you will have access to ongoing training and development opportunities while enjoying the flexibility of a hybrid work environment. Join us to be part of a team that values your contributions and supports your professional journey in enhancing our financial systems.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like The Travel Corporation.
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We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at The Travel Corporation, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at The Travel Corporation. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at The Travel Corporation
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at The Travel Corporation!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
