Fospha

Graduate Customer Intelligence role using marketing data to generate insights, recommendations and actions that improve customer outcomes for retail and ecommerce brands.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. About the roleThe Customer Intelligence team are responsible for ensuring our customers take action on Fospha data: turning data into clear recommendations, guiding marketers through budgeting decisions and helping client teams become experts in the Fospha platform.This is the entry point into the function, and it is a hands-on one. You'll work across live customer accounts from the point that they go live with Fospha, becoming the trusted expert in the domain, our customers and the decisions they are making across their marketing mix. It's a role for someone who wants to learn how to turn data into customer action, in a business where these actions are meaningful and exciting.Team: Customer IntelligenceLevel: Graduate - Entry LevelLocation: London, White CityWhat you’ll be doing:You'll join our Customer Intelligence Team and work across customer accounts, becoming a trusted expert in the insight, model, and data quality that sit behind themYou'll be responsible for the customer outcomes your team owns — driving action on insight, trust in the model, and confidence in data quality — contributing to customer retention alongside the Account ManagerYou'll build deep expertise in your specialism and use it to solve real customer problems, turning data into clear recommendations, building trust in our methodology, and keeping data accurate and flowingYou'll be confident and effective in customer-facing moments relevant to your team, building credibility with both technical and non-technical stakeholdersYou'll be collaborative, working closely with Account Managers and other specialist teams, feeding customer insight back to Product, and keeping everyone aligned with regular progress updatesIn addition to your core responsibilities, we expect you to be excited by the opportunity Gen AI brings and find new ways of working utilising our Gen AI hub to increase our efficiency The Centre of ExcellenceThe Centre of Excellence is Fospha's early-careers programme that develops ambitious, high-performing talent through focused training, hands-on experience and cross-functional exposure. Starting in Customer Intelligence, you'll gain foundational experience while being prepared for future opportunities across the organisation. The programme operates on the following principles:Individual Responsibility from the Get-go: You will quickly be responsible for the success of your work, able to make an individual impact early in your careerWork alongside SLT at Leading Businesses: You will be engaging with Senior Leadership and C-Level executives at the leading retail brands, getting exposure to how the top companies operateBecome a Customer Facing Expert: You will be working directly with customers, often meeting them in person and developing your ability to create strong interpersonal relationshipsCross-Functional Exposure: we offer unique opportunities to learn from and collaborate with every department in the business — many dailyComprehensive Training: In addition to the extensive on-the-job learning opportunities, you'll receive a broad and blended in-person training curriculum covering essential topics such as Business Storytelling, Account Management, Market Research & Product and Financial ManagementReal Mentorship: Regular one-to-ones, feedback, and career conversations with people invested in your progression, not just your outputCareer Development: High performers have clear opportunities to quickly advance their careers at Fospha — whether progressing within our Customer Teams toward strategic and/or management roles or moving into other departments that align with your skills and interestsModern Tools: Hands-on exposure to Gen AI tooling through our Gen AI hub, so you're building modern, AI-fluent ways of working rather than legacy processes What we can offer youSalary: £34k + discretionary 10% bonusA workplace pension through Royal London, with Fospha matching your contributions up to 3%A £1,000/year flexible benefits allowance to put towards private medical insurance, dental cover, a health cash plan, gym membership, extra holiday, or a pension top-up - whatever suits you!Access to Wellhub, giving you one membership across gyms, boutique studios, and wellbeing apps25 days' annual leave plus 8 UK bank holidays, an extra day off for your birthday! and more holiday the longer you stay (26 days after 3 years, 27 after 6)Life assurance worth 4x your annual salary, from day oneCycle to Work scheme, plus discounts on everyday spending through our benefits portal — Apple, Tesco, IKEA, M&S, Deliveroo, cinema tickets and moreQuarterly one-to-one sessions with a financial adviser, plus access to payroll-deducted loans through Salary FinancePaid volunteering days each yearRegular socials, free weekly snacks, and Lunch & Learn events at our Scale Space office, plus access to the wider Blenheim Chalcot communityOpportunities to travel — including to our India and North America offices What are we looking for?We hire for potential – you don’t need a technical degree or marketing background. We’re looking for:Curious, proactive individuals who are keen to learn and growExcellent verbal and written communication skillsStrong relationship-building ability, both internally and externallyAnalytical mindset, comfortable interpreting data and creating insights – proficiency in Excel!Organised and able to manage multiple priorities simultaneouslySolving problems for customersInterest in emerging technologies and excited by the potential and opportunity AI brings Our Values and PrinciplesYou will be able to demonstrate examples of our core principles:Seek inclusion & diversity: We create an environment where everyone feels welcome, and people are encouraged to speak and be hearWork Hard, Work Well, Work Together: We take responsibility for making things happen, independently and together; we help colleagues in need and close loops, making sure our work is complete and has lasting impactGrow: We are proactive, curious and unafraid of failureCustomer at the heart: We care about the customer, feel their pain and love building product that solves their biggest problemsCandour with caring: We deliver candid feedback with kindness and receive it with gratitude

Posted 7 days ago

Graduate Marketing Scientist role using SQL, Python, statistics, experimentation, and causal measurement to analyse ecommerce marketing data and deliver insights for clients.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. About the roleWe're looking for a Graduate Marketing Scientist to join Fospha's Marketing Science team in London.Fospha builds marketing measurement products for ecommerce brands — attribution, marketing mix modelling, incrementality testing, and brand impact measurement. Marketing Science owns the applied end of that: designing and delivering incrementality tests and MMM engagements for clients, and standing behind the numbers when a client challenges them.This is the entry point into the function, and it is a hands-on one. You'll work on live test and MMM delivery under supervision from the start, and you'll be the first person looking at a client's data when a number doesn't behave the way it should. It's a role for someone who wants to learn causal measurement properly, in a business where it's the product rather than a side project.What you'll doMarketing mix modelling (MMM) & Testing ServicesAssemble and validate test data — geo-level spend and conversion series, checking pre-period parity between treatment and control, spotting the coverage gaps that invalidate a design before it launchesSupport test design under review — market matching and control selection, power and minimum detectable effect sanity checks, and identifying contamination risks such as geo-targeting settings that don't behave the way the platform's documentation claimsRun analysis and read the results honestly — pre-treatment fit diagnostics, lift estimates with their intervals, and what a null result does and doesn't tell youQualify client data for MMM — spend coverage across channels, whether there's enough variation in spend to identify an effect at all, series length and granularity, collinearity between channels, and gaps that will bias the resultAssemble and validate model input datasets, and investigate the discrepancies that surface when you doSupport model runs and read the diagnostics — fit, residuals, convergence, and whether a channel's estimated contribution is plausibleContribute to output-extension work under review — building on an existing MMM result, for example forecasting or budget scenario work derived from itCompare results across methods — where MMM, incrementality, and platform-reported figures disagree, understanding why is the interesting part of the jobModel trust and diagnosticsFirst and second line on client trust queries — investigating why a number changed, working in SQL against client data to isolate the causeDistinguish a bug from a methodology change — attribution window changes, model recalibration, data feed gaps, and platform reporting shifts all look similar from the outside and have very different signatures underneathTriage PSPs on model trust, resolve what you can, and escalate what turns out to be a genuine model problem with a clear diagnosis attachedReconcile platform-reported figures against our measurement — why walled-garden ROAS disagrees with ours is the hardest recurring question in the business, and you'll be learning it from the insideLog and tag incidents consistently, so recurring failure patterns become visible and can be automated away rather than repeatedly handledClient communication and enablementRun templated explainer sessions under review, walking clients through how our measurement worksDraft documentation and presentations above the core explainer content, and feed recurring query themes back into the source materialFact-check methodology claims in product marketing collateral before it goes outWhat we're looking forWe’re looking for someone with a strong foundation in maths and stats with clear communication who is looking to growth their skillset.TechnicalWorking proficiency in SQL — you can investigate a discrepancy yourself rather than asking someone else to pull the dataPython, or a demonstrated ability to pick it up quickly. Most of our analysis tooling sits there.Grounding in inferential statistics — hypothesis testing, uncertainty, statistical power, and what a null result meansSome exposure to experimental design — randomisation, control groups, confounding, and why a badly designed test is worse than no testStrong AI fluency — you use AI tools to get moving on unfamiliar problems and plug gaps in your own knowledge, and you QA the output before you rely on itCommunicationClear, concise written communication — a large share of this job is explaining something technical to someone who isn'tComposure in client-facing conversation, including when the client is unhappy with a numberReal attention to detail, and the discipline to log things consistently even when it's dullHigh agency — you'll be given ownership as fast as you demonstrate you can hold itNice to haveExposure to marketing, ecommerce, or advertising dataFamiliarity with Bayesian methods and/or modellingExperience with cloud data toolingExperience presenting to or supporting external stakeholders

Posted 20 days ago