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 models to understand, predict and deploy labour in accordance to demand
* Developing 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
Who you will 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 data 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:
* £70,000-£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
* Automatic enrolment into the Stint workplace pension scheme with Smart Pension with a 3% employer contribution (based on qualifying earnings)
* Ownership shares in a well-funded, growing start-up
* Dog friendly office!
Stint was founded to empower students to work flexibly around their university studies and life commitments. But today, it’s not just the lives of students we're revolutionising. We're on a mission to transform the whole hospitality industry - helping everyone from local pubs to multinational chains operate in a more efficient and effective way.
The Stint app connects our hospitality partners to a small personalised team of their own Stinters, who work short shifts at their business week-in week-out.
And these short shifts make a BIG difference. By giving them the ability to match their labour more accurately to demand (hint: hospitality sales come in short bursts), we are improving their efficiency and their profitability.
We are now operating in 28 cities around the UK, and were named as one of LinkedIn’s Top 10 UK Startups. We have an internal team of 50 people, 250,000+ Stinters have created accounts, and we work with some of the biggest names on the high street including PizzaExpress, Honest Burger, Gail’s, Gordon Ramsay, and many more.
And we’re only just getting started.
We are looking for people who care about our mission and are passionate about what they do, take on new challenges, and want to grow with us here at Stint. We like to have fun and enjoy working hard without taking ourselves too seriously.
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