Can you distinguish genuine incremental growth from value simply shifting elsewhere?
Do you use causal inference to explain why customer behaviour changes, rather than just predict what happens next?
Would you like to help build a brand-new Data Science team focused on high-impact product and commercial strategy?
A global consumer technology business is building a new User Value Strategy team and hiring a Senior Data Scientist to shape its approach to experimentation, causal reasoning and strategic decision-making.
This is a classical Data Science and econometrics role rather than ML Engineering, focused on understanding the true impact of product and commercial initiatives across a large consumer ecosystem.
Responsibilities
• Apply causal inference and counterfactual methods to understand the true impact of product and commercial changes
• Analyse incrementality, cannibalisation and value decomposition across the ecosystem
• Work on experimentation, A/B testing and off-policy evaluation
• Develop simulation and evaluation frameworks to estimate outcomes before expensive experiments
• Translate complex findings into clear strategic recommendations
Requirements
• Strong experience in causal inference, experimentation or econometrics
• Depth in areas such as counterfactuals, cannibalisation, off-policy evaluation or value decomposition
• Strong statistical foundations and a research-oriented approach
• Ability to explain complex methodologies clearly to commercial and product stakeholders
• Master's or PhD preferred, ideally in Economics, Econometrics, Statistics or a related quantitative field
Key Details
Level: Senior Data Scientist, open to Mid-level
Salary: Up to £124,000 base + bonus
Location: London
Working model: Largely remote. London office visit once every 6 weeks
Interested? Apply below.
Data Scientist - Causal Inference & Experimentation • England, United Kingdom, United Kingdom
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