Data Scientist

Oliver Bernard; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading company is seeking a commercially minded Data Scientist with a strong foundation in machine learning. You will develop and deploy models to optimize labor allocation and improve service quality, working with real partner data. The role requires strong Python skills and experience in building production-ready ML models, with a focus on collaboration and delivering actionable insights.

Qualifications

• 4+ years of experience building production-ready ML models.
• Strong grasp of statistics and modelling.

Responsibilities

• Developing and deploying machine learning models to forecast demand.
• Collaborating across teams to deliver real value for partners.

Skills

Python

Machine Learning

Statistics

Tools

AWS

Job description

Direct message the job poster from Oliver Bernard

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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