Data Scientist

About the role

This position centers on the discipline of marketing measurement within the Customer Growth team at Trainline. The primary ownership of this role is to construct and refine methodologies that rigorously evaluate the performance of marketing initiatives. You will translate intricate datasets and statistical outputs into concise, strategic guidance that directly guides commercial choices. The work you perform will serve as a foundational element in how Trainline assesses the return and efficiency of its marketing investments. You are expected to act as the central analytical voice for marketing effectiveness, ensuring that decisions are grounded in evidence rather than intuition. This role demands a proactive approach to problem-solving, where you identify gaps in current measurement and pioneer new ways to close them. You will be accountable for maintaining the integrity and accuracy of the measurement framework as the company scales. Ultimately, your contributions will shape the future capabilities of Trainline's marketing analytics organization.

Key facts

What you'll do

• Design and implement robust methods to measure the effectiveness and incremental impact of marketing activities across various channels.
• Leverage advanced Python programming, causal inference frameworks, and geo-experimentation techniques to dissect performance and extract actionable business insights.
• Synthesize information from disparate data sources and measurement approaches to create a unified and coherent picture when no single source provides the full answer.
• Convert complex analytical discoveries into clear, prioritized recommendations that marketing stakeholders can understand and act upon immediately.
• Partner closely with marketing leadership, analytics specialists, and cross-functional teams to jointly formulate measurement questions and define the scope of analytical projects.
• Orchestrate and oversee multiple analytical projects at once, carefully managing your time to ensure a balance between delivery speed, analytical rigor, and tangible business value.
• Apply pragmatic reasoning when working with incomplete or imperfect data, explicitly documenting your assumptions and the limitations of your conclusions.
• Contribute directly to the evolution of Trainline's marketing measurement infrastructure, including the methods, models, and tools used by the organization.
• Evaluate the validity and reliability of measurement results, ensuring that findings are robust and withstand scrutiny from business partners.
• Champion the adoption of data-driven decision-making by demonstrating the tangible impact of your analysis on marketing outcomes.
• Explore opportunities to automate repetitive analytical tasks, freeing up capacity for higher-value investigative work.
• Maintain a keen awareness of industry best practices in measurement, ensuring that Trainline's approaches remain competitive and credible.
• Translate technical jargon into accessible language, enabling non-technical stakeholders to engage confidently with the analysis.
• Document your work meticulously, creating a clear audit trail that allows others to replicate and build upon your analyses.

Requirements

• You possess significant hands-on experience using Python for data analysis, specifically in building measurement approaches and articulating findings to non-technical audiences.
• You have direct experience applying causal inference, geo-experimentation, or similar experimental methods to solve concrete business problems, not just theoretical exercises.
• You operate with a pragmatic and commercially oriented mindset, consistently balancing the pursuit of analytical perfection with the need for timely, actionable decisions.
• You demonstrate strong communication skills, with the ability to explain complex technical concepts clearly and convincingly to audiences with varying levels of expertise.
• You are capable of managing multiple projects or workstreams concurrently, rigorously prioritizing tasks to ensure the most valuable outcomes are delivered first.
• You have a proven track record of collaborating effectively with marketing, analytics, and other internal teams to develop analytical solutions that address real business questions.
• You exhibit intellectual curiosity, sound judgment, and the resilience to work comfortably with ambiguity while testing a range of approaches to find the best solution.
• You are legally authorized to work in the United Kingdom without any sponsorship requirements for this role.
• You are based in or are willing to relocate to the London area to fulfill the role requirements effectively.

Nice to have

• You bring prior experience in the specific domains of marketing measurement, marketing effectiveness, or marketing mix modeling from previous roles.

Practical notes

• This role operates on a hybrid model, requiring a minimum of 60% office presence over a 12-week period.
• A 28-day work-from-abroad policy is available for employees.
• The total compensation package includes private healthcare and dental insurance, a 2-for-1 share purchase plan, an electric vehicle scheme, extra festive time off, and family-friendly benefits.
• The company provides clear career paths, transparent pay bands, personal learning budgets, and designated learning days to support professional development.