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Loading LAYIQ…From Fospha's posting. “We” and “our” refer to the employer.
Fospha is dedicated to building the world's most powerful measurement solution for online retail. For over a decade, we've helped teams make smarter decisions with full-funnel marketing insights, forecasting, and optimisation. With Fospha, every team moves faster and grows smarter.
We're looking for a Data Scientist to join Fospha's Data Science team in London, working within our Stream 3 workstream.
Fospha builds marketing measurement products for ecommerce brands — attribution, marketing mix modelling, incrementality testing, and brand impact measurement. Our Data Science team owns the models behind all of it, from methodology through to production code. You will have the chance to work across our technical stack to make real code impacts on codebases.
This role suits someone with some commercial data science experience behind them who wants to go deeper. You’ll take on interesting but challenging work with a supportive team structure and a company that rewards high agency with ownership.
Data Science
Developing (Data Science Career Development Framework)
London
We run a published Data Science Career Development Framework with six levels. You'd join at Developing, where the expectations are:
Understands how to optimally start all relevant tasks with AI; confident completing work independently; uses AI to push for acceptance criteria and limit cross-department dependencies; always QAs AI output for accuracy and brevity.
Deep knowledge of a handful of algorithms, and familiarity with the full Fospha model suite.
Systematically debugs issues with AI support, even in partly familiar repositories; uses supplied AWS tooling efficiently and understands the data science parts of the pipelines; uses existing QA automation effectively; avoids technical debt and collaborates well on code; reviews AI-assisted code so it ships with minimal bugs.
Communicates with clients and colleagues with minor assistance.
Undertakes moderately difficult tickets while starting to become an internal data science champion.
Receives detailed instruction, but becomes progressively less dependent on senior colleagues.
Progression to Career level is against explicit, published criteria — leading larger production projects, resolving bugs independently, and communicating as a modelling expert in your own right. You'll know what you're working towards from your first week.
Throughout, we look for the same core behaviours: concise communication, collaboration, problem solving, critical thinking, growth mindset, attention to detail, time management, and initiative.
Why Fospha
Real methodological depth.
Bayesian attribution, MMM, geo lift testing, and causal inference are our day job, not a side project. You'll be working on all of it, not adjacent to it.
Published career framework.
No guessing what the next level requires or when you'll get there.
A team that reviews each other's work properly.
Code review and methodology critique from people who care about getting the model right.
Direct client impact.
The models you build and maintain drive real budget decisions at brands you'll recognise.
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