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We’re looking for a commercially minded Data Scientist with a strong foundation in machine learning to help us solve practical, high-impact problems across hospitality and workforce optimisation.
You’ll work with real partner data to build and deploy models that improve labour planning, service quality, and decision-making at scale.
What you’ll be doing:
- Developing and deploying machine learning models to forecast demand and optimise labour allocation
- Measuring and improving quality of service using data-driven models
- Exploring and interpreting partner data to uncover insights and present them clearly to both internal and external stakeholders
- Building visualisations, tools, and infrastructure to make our processes and outputs scale smoothly
- Collaborating across teams to bring technical solutions to life — and deliver real value for our partners
What we’re looking for:
- 4 + years of experience building production-ready ML models
- Strong Python skills and hands-on familiarity with ML libraries and frameworks
- Solid understanding of supervised and unsupervised learning, and the judgement to apply the right approach
- Previous experience developing real-world ML products in areas like demand forecasting, optimisation, or computer vision
- Comfortable working with AWS services (e.g. SageMaker, Lambda)
- Strong grasp of statistics and modelling, with the ability to turn raw data into actionable insight
- Willingness to learn the basics of backend development (Python/Django or Go) to support end-to-end delivery
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Information Technology
Industries
Data Infrastructure and Analytics, IT System Data Services, and Software Development
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