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Fospha

Marketing Science Lead

London
Posted 1 day ago
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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 optimized 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 Lead, 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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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.
  • Measurement & AdTech Knowledge: Deep understanding of Media Mix Modeling (MMM), Multi-Touch Attribution (MTA), incrementality testing, and the broader AdTech ecosystem, including Meta, Google, and TikTok.
  • Commercial Translation: The rare ability to translate complex data science and Bayesian models into highly digestible commercial insights for non-technical executives.
  • Communication Skills: Excellent verbal and written communication skills. Ability to articulate complex concepts clearly and persuasively to diverse audiences. Proven track record of working effectively in cross-functional teams. Ability to build consensus and drive alignment across diverse stakeholders.
  • Problem-Solving Skills: Strong problem-solving abilities with a proactive approach to identifying and addressing challenges. Ability to navigate ambiguity and make sound decisions under pressure.

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What We Offer

  • Competitive salary and bonus
  • Opportunities for learning and development within the Blenheim Chalcot venture network
  • Travel to our London HQ and cross-team
  • 25 days PTO including 11 federal public holidays
  • Your birthday off
  • Daily office snacks and treats

Our Values and Principles

You 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 heard
  • Work 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 impact
  • Grow: We are proactive, curious, and unafraid of failure
  • Customer at the heart: We care about the customer, feel their pain, and love building product that solves their biggest problems
  • Candour with caring: We deliver candid feedback with kindness and receive it with gratitude
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Skills

Marketing science
Data analytics
Technical account management
Media mix modeling
Multi-touch attribution
Incrementality testing
AdTech
Meta
Google
TikTok
Bayesian models
Commercial translation
Communication skills
Cross-functional collaboration
Problem-solving
Data literacy

Location

London, England, United Kingdom

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