Data Scientist

Data Scientist

Department: Data

Employment Type: Full Time

Location: London, UK

Compensation: GBP 65,000 - GBP 110,000 / year

Description

You will be combining your analytics, modelling and natural problem-solving skills to shape, analyse and interpret Partner data to identify opportunities to drive further returns from improved labour deployment.

What you will be doing:

• Developing AI models to understand, predict and deploy labour in accordance to demand
• Developing AI models to monitor and improve quality of service in hospitality
• Analysing Partner (e.g., Gail's, Pret, PizzaExpress) data to identify opportunities and building visualisations for internal and external stakeholders
• Building and maintaining software infrastructure to scale analytics processes
• Collaborating with both technical and non-technical stakeholders to solve problems for our Partners

This position might suit you, if you have:

• 2+ yrs experience building production-grade AI models
• Excellent problem-solving abilities demonstrated through academics or work experience
• Strong proficiency with Python, and familiarity with AI libraries/frameworks
• Solid understanding of machine learning techniques, including supervised and unsupervised learning, with the ability to select and apply the right models to business problems
• Proven hands-on experience in developing production-grade machine learning products, preferably in one or more of the following areas: demand prediction, computer vision or optimisations
• Familiarity with the AWS cloud platform, particularly with AI/ML services such as SageMaker, Lambda, and related data processing tools
• Strong foundations in mathematics, statistics, and modelling, with a keen ability to interpret data patterns and derive relevant insights
• Willing to develop basic to intermediate proficiency in backend development (Python with Django, Go) to support deployment and integration of ML models into the product ecosystem

What we can offer you:

• GBP 65,000-GBP 110,000 (salary banding will be dependent on technical skills and experience)
• Private medical insurance
• A social, friendly and welcoming team based in the heart of Camden
• Office gym membership
• Ownership shares in a well-funded, growing start-up
• Dog friendly office!

If you want to learn more about us, check out our website, Instagram and Tik Tok.