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Nicholson Glover

Head of Data Science | Behavioural Science & Social Purpose Research

London
£72k – £95k/yr
Posted about 11 hours ago
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Head of Data Science | Behavioural Science & Social Purpose Research

We're recruiting a Head of Data Science for a well-established behavioural science and social-purpose research organisation, working across policy areas including health, financial resilience, gambling harm, and sustainability.

The role:

This is a senior, hands-on leadership position. You'll be the technical anchor for the data science function — leading and mentoring a team, setting methodological standards, and overseeing QA across machine learning, predictive modelling and data visualisation work. You'll also play a central role in business development: leading technical bids, costing proposals, and pitching data science capabilities to non-technical clients.

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.

P

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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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.

Why this role

  • Rare seat that combines deep technical leadership with genuine commercial influence — not just delivery
  • Work sits at the intersection of causal inference, ML and real policy impact, across health, financial resilience, gambling harm and sustainability
  • Direct input into the organisation's AI roadmap, shaping how agentic AI and LLMs get used in research and client work
  • Lead and grow a talented data science team, with real autonomy over methodology and standards

What we're looking for:

  • Strong applied ML and econometrics skills (predictive modelling, regression frameworks, clustering)
  • Experience with causal inference and experimental/quasi-experimental methods (RCTs, DiD, RDD, propensity score matching) is a strong plus
  • Fluency in Python and R, with experience building reproducible data pipelines
  • A track record of leading technical bids or client-facing proposals
  • Experience with LLMs or agentic AI tools in a research or applied services context
  • People leadership experience — mentoring and developing technical specialists

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Details:

  • Hybrid: minimum 2 days/week in a London office
  • Permanent, full-time or part-time considered
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Location

London, England, United Kingdom

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