Lead larger production projects end to end — scoping, building, and shipping production-level code, rather than working through tickets someone else has specifiedChoose the modelling approach — independently selecting and applying the right method within our suite, across attribution, marketing mix modelling, incrementality testing, and brand impact. You will be given time to keep up-to-date on the latest methodologies in the industryResolve bugs and queries independently — including in parts of the codebase you didn't write, without needing to route them upwardsUse AI as leverage, not as a crutch — solving coding tickets quickly, unblocking yourself on product and engineering dependencies, and building automation workflows that save the team timeWork with QA properly — using our automated tooling efficiently and flagging the gaps in it rather than working around themCommunicate as a modelling expert — confidently and independently, with clients and with colleagues, including when the message is that a number they like is wrongHelp develop the people around you — code review, methodology critique, and hands-on support for less experienced colleagues. Breaking down tickets and helping those more junior is essentialWe run a published Data Science Career Development Framework with six levels. You'd join at Career, where the expectations are:
AI Fluency & Tooling: Leverages AI to solve coding tickets quickly; consistently unblocks themselves on cross-department dependencies, especially product and engineering; never sends AI-assisted communication without checking quality; expert at using AI to build automation workflows.
Machine Learning & Modelling: Strong ML knowledge across multiple algorithm families; independently chooses and applies the right modelling approach within Fospha's suite.
Engineering & Codebase: Leads on larger coding projects and tickets with production-level code; resolves queries and bugs efficiently and independently; master at using supplied AWS tooling through AI; uses automated QA tools efficiently and flags gaps to the QA team.
Stakeholder & Communication: Confidently and independently communicates with clients and colleagues as a modelling expert; assists with the development of junior members of staff.
Job Complexity: Consistent contributor and respected knowledge holder, with emerging collaboration and mentorship abilities.
Supervision: Demonstrates initiative in accepting and planning work.
Progression to Advanced level is against explicit, published criteria — taking on almost any ticket efficiently, building and planning production repositories, collaborating with product on project outcomes and estimates, actively developing junior colleagues, and representing Fospha as a trusted external voice on modelling in senior client and partner conversations. 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.Ownership at the methodology level. At this level you're choosing the approach, not implementing someone else's choice.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.By submitting your CV you understand that we have a legitimate interest to use your personal data for the purposes of assessing your eligibility for this role. This means that we may use your personal data to contact you to discuss your CV or arrange an interview, or transfer your CV to the hiring manager(s) of the role you have applied for. You can ask us at any time to remove your CV from our database by emailing recruitment@blenheimchalcot.com – but please note that this means we will no longer consider you for the role you have applied for. You can review our privacy policy here.
