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Fospha, the measurement system for enterprise retail and ecommerce brands, is seeking a Marketing Science specialist in London. You will be the technical authority for the Enterprise tier, linking Customers, Customer Success, Data Science and Product to convert advanced models into trusted, actionable business decisions.
You will lead post-sales value delivery: designing first-party incrementality tests, calibrating models, and building learning agendas for clients, translating complex analytics
Fospha is the measurement system enterprise retail and ecommerce brands run their business on. We give marketing teams one clear, daily view of what's actually working - across every channel and everywhere they sell, from their website to Amazon and TikTok Shop - down to the level of a single ad or piece of creative. It replaces guesswork and gut feel with a number marketing, finance and agencies can all trust and act on.
Brands including Dyson, Gymshark, Adanola and Huel use Fospha up to 25 times a day to decide where budget should move next. We've spent over a decade building this, with more than $40 billion in marketing spend now optimised through the platform - and we're scaling fast across London, Mumbai and Austin.
Fospha is pioneering the future of marketing intelligence, moving enterprise retailers beyond the broken world of click-based attribution. Our mission is to transform complex data into the single, most trusted source of truth for CMOs and CFOs managing high-stakes budgets.
As a Marketing Science, your focus will be acting as the technical authority for our Enterprise tier, serving as a dedicated conduit between our Customers, Customer Teams, Data Science, and Product teams.
We are looking for a rigorous, analytical practitioner ready to operationalize advanced modelling into tangible business decisions, driving sustainable growth for clients like Huel, Dyson, and Gymshark. You will operate as a post-sales, value-delivery engine embedded directly within the Customer Success department.
We hire for potential - you should apply if you:
You will be able to demonstrate examples of our core principles: