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About the Role
As a Data Scientist specialising in Marketing Measurement, you will shape how we evaluate marketing performance, turning complex and imperfect data into clear recommendations that support high-value commercial decisions. You will take ownership of a varied portfolio of focused, fast-moving measurement projects to understand marketing impact.
Responsibilities
- Design and deliver robust approaches for measuring the effectiveness and incremental impact of marketing activity.
- Use Python, causal inference and geo-experimentation techniques to analyse performance and generate commercially relevant insights.
- Combine evidence from multiple data sources and measurement methods to provide a clear and balanced view.
- Translate complex analytical findings into practical recommendations for marketing stakeholders.
- Partner with marketing, analytics and cross-functional teams to define measurement questions and project scope.
- Manage several focused analytical projects simultaneously, balancing pace, quality and business value.
- Apply pragmatic judgement when working with incomplete or imperfect data.
- Contribute to the development of marketing measurement capabilities, tools and ways of working.
Requirements
- Strong practical experience using Python to analyse data and build measurement approaches.
- Experience applying causal inference, geo-experimentation or related experimental methods to real-world business questions.
- Pragmatic and commercially focused approach with the ability to balance analytical rigour with timely decision-making.
- Strong communication skills to explain technical concepts to diverse stakeholders.
- Confidence managing several projects or workstreams simultaneously.
- Experience working collaboratively with marketing or analytics teams.
- Curiosity, sound judgement and a willingness to work with ambiguity.
Skills
- Python
- Causal inference
- Geo-experimentation
- Marketing measurement
- Marketing effectiveness
- Marketing mix modelling
Location
- London
- Paris
- Barcelona
- Milan
- Edinburgh
- Madrid
Work Type
- Hybrid
- Minimum 60% office attendance over a 12-week period
Benefits
- Private healthcare
- Dental insurance
- Work from abroad policy (28 days)
- 2-for-1 share purchase plans
- EV Scheme
- Extra festive time off
- Family-friendly benefits
- Personal learning budgets
- Regular learning days
About the Company
- Europe’s number 1 downloaded rail app with over 135 million monthly visits.
- FTSE 250 company collaborating with 270+ rail and coach companies in over 40 countries.
- Committed to building a greener, more sustainable future of travel.
Equal Opportunity
- Committed to creating inclusive places to work where diversity of gender, ethnicity, sexuality, disability, and nationality are valued and celebrated.