Senior Data Scientist, Growth & Measurement

Salary: £70,000 - 110,000 per year

Requirements:

• We require a Bachelors degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative discipline.
• We require 4–6 years of experience in Data Science, Product Analytics, Marketing Analytics, Growth Analytics, or a similar analytical role.
• We require advanced SQL and Python or R skills.
• We require a strong foundation in statistics, experimentation, and causal inference methodologies.
• We require experience designing and analysing A/B tests, controlled experiments, holdouts, and geo experiments.
• We require experience measuring incrementality and evaluating business initiatives using data-driven approaches.
• We require a strong understanding of growth and performance metrics, including ROAS, CAC, conversion, retention, and customer lifetime value.
• We require excellent communication skills with the ability to translate complex analysis into clear business recommendations.

Responsibilities:

• We design and analyse A/B tests, holdouts, geo experiments, and other experimental frameworks to evaluate initiatives and establish causality.
• We build robust measurement approaches for marketing, product, pricing, and risk initiatives, including incrementality, ROAS, CAC, retention, conversion, and customer lifetime value.
• We apply statistical and causal inference techniques, including regression analysis, seasonality adjustment, interrupted time series, and causal impact frameworks, to determine business impact.
• We analyse customer behaviour, identify growth opportunities, and uncover root causes behind performance trends.
• We translate complex analytical findings into clear recommendations that help teams decide what to stop, start, or scale.
• We partner cross-functionally with stakeholders and help raise analytical, measurement, and experimentation standards across the business.

Technologies:

• Marketing
• Python
• SQL
• Power BI
• Snowflake
• Tableau

More:

We are Western Union, and we are hiring a Senior Data Scientist to help shape important growth and investment decisions by uncovering what drives customer growth, profitability, and long-term value. We work closely with Marketing, Product, Pricing, and Risk to design experiments, build measurement frameworks, and apply causal analysis that influences business decisions and investment priorities. This is a hybrid role based in London or Madrid, with an expectation to work from the office at least three days a week. We offer short-term incentives, multiple health insurance options, accident and life insurance, access to best-in-class development platforms, and UK-specific benefits including competitive compensation with performance-based incentives, a defined contribution pension plan, a Global Travel Policy, and a Global Employee Assistance Programme. We are committed to an inclusive culture that values belonging, respects diverse backgrounds and perspectives, and provides recruitment accommodations where needed.

last updated 34 week of 2026