Data Scientist – Labour Productivity / Hospitality in Slough

Data Scientist – Labour Productivity / Hospitality in Slough

Slough Full-Time 54000 - 66000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse data to optimise labour productivity and improve workforce efficiency.
  • Company: Dynamic hospitality business focused on innovation and growth.
  • Benefits: Competitive daily rate, hybrid working, and opportunities for professional development.
  • Other info: Collaborative environment with a focus on measurable results.
  • Why this job: Make a real impact on workforce productivity in a major multi-site organisation.
  • Qualifications: 5+ years in analytics with strong SQL and BI skills required.

The predicted salary is between 54000 - 66000 Β£ per year.

Data Scientist - Labour Productivity / Hospitality London | Hybrid - 2 days a week | Contract | Β£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 we 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.

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 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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Data Scientist – Labour Productivity / Hospitality in Slough employer: Talent Locker

As a Senior Azure Platform Engineer at our Farnborough location, you will be part of a dynamic and innovative team dedicated to delivering cutting-edge cloud solutions in a secure environment. We pride ourselves on fostering a collaborative work culture that encourages professional growth through continuous learning and development opportunities, while also offering competitive salaries and flexible hybrid working arrangements to support work-life balance.

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Contact Details:

Talent Locker Recruitment Team

We think you need these skills to ace Data Scientist – Labour Productivity / Hospitality in Slough

Labour Optimisation
Analytics
Data Science
Advanced SQL
Data Warehouse Experience
Financial Modelling
Understanding of P&L