Data Scientist, Stint

£65-110k

+ Shares

AWS

Python

Django

Sagemaker

Mid and Senior level

London

4-5 days a week in office

Student workforce platform combined with a B2B SaaS product (in stealth)

Open for applications

Student workforce platform combined with a B2B SaaS product (in stealth)

21-100 employees

HospitalityB2BRecruitmentSaaSMobile

Open for applications

£65-110k

+ Shares

AWS

Python

Django

Sagemaker

Mid and Senior level

London

4-5 days a week in office

21-100 employees

HospitalityB2BRecruitmentSaaSMobile

Company mission

Through our SAAS offering, we support high street businesses up and down the UK as they fight for survival and transform the world of work for students.

Job

Company

Role

Who you are

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 the job involves

You will be combining your analytics, modelling ability and natural problem-solving skills to shape, analyse and interpret Partner data to identify key opportunities to drive further returns from improved labour deployment
Developing models to understand, predict and deploy labour in accordance to demand, validating also their impact to service
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 infrastructure and software to scale processes
Collaborating with both technical and non-technical stakeholders to solve problems for our Partners

Application process

Applied
Review
Interview
Hired

Salary benchmarks

Our take

Stint’s app connects students with high street & hospitality businesses needing to fill shifts at peak times. This helps businesses redesign the way they hire, whilst empowering all university students to find work to fit around their studies.

Stint works with some of the industry's biggest hospitality businesses, such as Pizza Express, Pret-A-Manger, GAILs, and more.

Compared to competitors providing flexible work, Stint offers more variety than other gig-economy work such as food delivery. In addition, the company prides itself on being a company by students for students and set itself apart by putting students’ well-being at the heart of what it does. All its student workforce are employed by Stint, accrue holiday and get paid for every shift they do - even if they are sent home early.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

48% female employees

-31% employee growth in 12 months

Glassdoor (3.7)

Company

Company benefits

Private medical insurance
Share options
Weekly office breakfasts and lunches
Cycle to work scheme
Weekly team socials

Company values

Kindness
Ambition
Energy
Integrity

Company HQ

Camden Town, London, UK

Articles

Micro-shift app gets students super-short jobs

Leadership

Sam Schlagman

(CEO)

Co-founded Stint after graduating from UCL with a Bachelor's in Business and Economics.

Emanuel Daniel

(CTO (Co-Founder))

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