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Via

Head of Data Science

London
£100k – £160k/yr
Posted about 17 hours ago
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Head of Data Science | High-Growth Consumer Fintech

£100,000 – £160,000 + Stock Options | London (Hybrid)

We're partnering with one of the UK's fastest-growing consumer fintechs to appoint their first Head of Data Science. This is a rare opportunity to build and lead a data science function from the ground up, at a business that already has the strong data foundations most teams spend years trying to put in place.

You'll own the models that drive growth directly, from credit risk decisioning to customer retention, and you'll have the autonomy and senior visibility to shape how data science is done across the whole company.

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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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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

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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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Strong

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.

The Role

  • Define and lead the data science function, setting the vision, roadmap and standards for how advanced modelling is used across the business.
  • Own the end-to-end design, build and deployment of production-grade machine learning models, including credit risk and churn prediction.
  • Partner with Product, Engineering, Risk, Operations and Commercial teams to identify where advanced modelling can have the greatest impact.
  • Translate complex modelling approaches into clear commercial outcomes for senior stakeholders.
  • Bring cutting-edge AI and ML into a business that's ready to act on it.

What You'll Bring

  • 7+ years' experience in data science and predictive modelling, with a proven track record of delivering results.
  • Hands-on experience building state-of-the-art ML models and deploying them into production.
  • A 2:1 or higher from a top university, ideally in a STEM or quantitative discipline.
  • Strong stakeholder management skills and a genuine passion for data-driven decision-making.
  • A strong sense of ownership: you take responsibility for an entire area, not just your part of it.

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Bonus points for experience with agentic architectures and applying the latest LLMs in a commercial setting.

What's On Offer

  • Salary of £100,000 – £160,000, depending on experience.
  • Stock options for all employees.
  • Genuine career acceleration: around 40% of employees progress at each bi-annual review.
  • Private medical insurance.
  • A personal L&D budget to develop the skills you care about.
  • 33 days' holiday (25 days plus 8 bank holidays) with full flexibility on when you take them.
  • Enhanced maternity, paternity, adoption and shared parental leave (after 12 months' service).
  • Workplace nursery scheme offering significant savings.
  • Exclusive employee access to discounted tech devices.

Interested?

Apply now and register your details on the Via platform to learn more about the role and the business.

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Location

London, England, United Kingdom

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