Marketing Science

About this role

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. The Role: 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. Key Responsibilities Client-Facing Support: Proactively and reactively support Customer Success and Account Management teams on model trust and methodology escalations, directly combating objections related to competitors like Triple Whale or Northbeam. Incrementality & Learning Agendas: Act as the primary Marketing Science Strategist, designing first-party incrementality tests, calibrating models, and building structured learning agendas for clients.

R&D "Mouthpiece": Systematically capture and triage field feedback and methodological objections, feeding structured intelligence back to our Product and Data Science teams. Collateral & Knowledge Creation: Build the definitive technical collateral, Academy content, and internal training to raise the baseline data literacy of our entire Go-To-Market organization. What are we looking for? We hire for potential - you should apply if you: Marketing Science Experience: 3-5 years of experience in marketing science, data analytics, or technical account management.