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Data Scientist – Labour Productivity / Hospitality

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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
Why you're a good match
StrongYour 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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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.
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.
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.
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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Jessica, London
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