Senior Data Scientist

The Travel Corporation; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

The Travel Corporation seeks a Senior Data Scientist to shape how we use data to improve travel experiences across brands. You will work with rich customer, booking, and behavioural data to build models that inform strategy and operations.

Lead complex initiatives, mentor peers, design experiments and help move high-value models into production while upholding responsible AI practices. The role is based in London with hybrid work pattern and collaboration across multiple markets.

Qualifications

• Significant experience applying data science or ML in a commercial environment.
• Advanced capability in Python and SQL.
• Strong grounding in statistics, ML, experimentation and validation.
• Proven ability to deliver measurable customer or business impact.
• Experience with segmentation, propensity, lifetime value, personalization or forecasting.
• Experience with large-scale behavioural/transactional datasets.
• Understanding of production data science, MLOps and model monitoring.
• Commercial judgement and the ability to simplify complex findings.

Responsibilities

• Lead complex data science initiatives from problem definition through modelling, validation and implementation.
• Build predictive and ML solutions across priority customer and commercial use cases.
• Apply advanced statistical techniques to uncover behaviour and opportunities.
• Design rigorous experiments and measurement approaches with incremental impact.
• Set best practices in feature engineering, validation and reproducibility.
• Work with Data Engineering to productionise high-value analytic solutions.
• Guide model monitoring, drift management and ongoing performance.
• Turn sophisticated analysis into clear recommendations for senior decision-makers.
• Mentor data scientists and provide technical leadership across the team.
• Contribute to data science strategy, governance and responsible AI practice.

Skills

Data science experience

Python & SQL

Statistics & ML

Impactful projects

Segmentation/Propensity/Forecasting

Large datasets

MLOps & monitoring

Commercial judgement

Tools

Snowflake

Job description

Senior 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 a role for someone who wants their models used, not admired. You will solve complex customer and commercial problems through advanced analytics, experimentation and machine learning, working with rich customer, booking, behavioural, marketing and digital data.

The problem space is broad: segmentation, propensity, personalisation, customer value, retention, forecasting and commercial optimisation. Alongside hands‑on work, you will shape analytical methodology, mentor other data scientists and help our most valuable models move from experiment into decisions that change what the business does. The data is rich, the questions are real and the appetite for answers is genuine.

What Will You Do?

• Lead complex data science initiatives from problem definition through modelling, validation and implementation.
• Build predictive and machine learning solutions across priority customer and commercial use cases.
• Apply advanced statistical techniques to uncover behaviour, patterns and commercial opportunity.
• Design rigorous experiments and measurement approaches that reveal genuine incremental impact.
• Set best practice in feature engineering, validation, reproducibility and model evaluation.
• Work with Data Engineering to productionise high-value analytical solutions.
• Guide model monitoring, drift management and ongoing performance.
• Turn sophisticated analysis into clear recommendations for senior decision‑makers.
• Mentor data scientists and provide technical leadership across the team.
• Contribute to data science strategy, standards, governance and responsible AI practice.

About You

Essential

• Significant experience in data science, applied data science or machine learning in a sophisticated commercial environment.
• Advanced capability in Python and SQL.
• Deep grounding in statistics, machine learning, experimentation and model validation.
• Solutions you can point to that delivered measurable customer or commercial impact.
• Strong experience across segmentation, propensity, lifetime value, personalisation or forecasting.
• Experience with large-scale behavioural, transactional or customer datasets.
• Understanding of production data science, MLOps and model monitoring.
• Commercial judgement and the ability to simplify complex technical findings.

Desirable

• Experience providing technical leadership, peer review or coaching to other data scientists.
• Exposure to Snowflake or another modern cloud data science environment.
• Experience contributing to responsible AI standards or governance.
• Experience in a global, multi‑brand or multi‑market business.
• Curiosity about travel, hospitality or global consumer businesses.