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Data Scientist – Labour Productivity / Hospitality

London
£700 – £725/day
Posted 1 day ago
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Data Scientist – Labour Productivity / Hospitality

London | Hybrid – 2 days a week | Contract | £700-725pd Outside IR35

Not a generalist Data Scientist role. We are looking for a Data Scientist / Data Analyst with proven labour optimisation experience to support a major workforce productivity programme within a large, multi-site business.

The two things I need to see:

  • Proven labour optimisation experience – delivering measurable improvements across labour productivity, wage % to sales, sales per labour hour, scheduling or labour deployment.
  • Strong Finance & Operations stakeholder management – able to turn analysis into actions and measurable commercial results.

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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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

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

What you’ll need:

  • 5+ years’ analytics / data science experience in a multi-site environment – hospitality, retail, leisure or QSR preferred
  • Advanced SQL and data warehouse experience – Snowflake / dbt advantageous
  • Strong Excel financial modelling and understanding of P&L / labour costs
  • Strong BI development – Power BI, Tableau, Looker or Omni
  • Experience with rota, time & attendance and payroll data

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The role

  • Labour productivity & workforce analytics
  • Labour modelling and demand-led scheduling
  • Identifying and sizing productivity opportunities
  • Working across Data, Finance and Operations

If you have the labour optimisation + analytics + stakeholder experience, we'd like to speak with you.

Apply now or message directly for more details.

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Location

London, England, United Kingdom

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