Job Description

Role Responsibilities

As a Senior Data Scientist, you'll help shape some of Western Union's most important growth and investment decisions by uncovering what truly drives customer growth, profitability, and long-term value. Partnering across Marketing, Product, Pricing, and Risk, you'll design experiments, build measurement frameworks, and apply causal analysis to influence business decisions and investment priorities.

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

Role Requirements

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

Preferred Qualifications

• Experience within fintech, financial services, marketplaces, or other digital businesses.
• Experience with Snowflake, Power BI, Tableau or similar analytics tools.
• Exposure to attribution modelling, marketing mix modelling (MMM), Bayesian methods, or advanced experimentation frameworks.

Work Shift

Hybrid: Western Union values in-person collaboration, problem solving, and ideation whenever possible. We believe this fosters common ways of working and supports how we execute initiatives for our customers. The expectation is to work from the office a minimum of three days a week.

Benefits and Other Details

You will also have access to short-term incentives, multiple health insurance options, accident and life insurance, and access to best-in-class development platforms, to name a few. Please see the benefits below specific to your country. If applicable, additional role-specific benefits will be mentioned during your interview process or in an offer of employment.

Your UK specific benefits include:

• Competitive compensation including performance-based incentives

• Defined Contribution pension plan
• Global Travel Policy
• Global Employee Assistance Programme

Other Details

We are passionate about honoring our employees' identity and fostering a feeling of belonging. Our commitment is to provide an inclusive culture that celebrates the unique backgrounds and perspectives of our global teams while reflecting the communities we serve.

We do not discriminate based on race, color, national origin, religion, political affiliation, sex (including pregnancy), sexual orientation, gender identity, age, disability, marital status, or veteran status. The company will provide accommodation to applicants, including those with disabilities, during the recruitment process, following applicable laws.

#LI-MP2 #LI-Hybrid

Estimated Job Posting End Date:

08-31-2026

This application window is a good-faith estimate of the time that this posting will remain open. This posting will be promptly updated if the deadline is extended or the role is filled.