Data Scientist | UK's Fastest Growing AI Hospitality Platform | £60K - £80K + Equity | Hybrid (4 Days)
Company
I am working with an exciting AI start-up that are reshaping how hospitality businesses operate. They have created the UK’s largest flexible workforce of hyper-local students, supporting major global brands. Now, they are combining that workforce with advanced AI to create a platform unlike anything else in the market.
Their newly launched AI product has already exceeded £1m ARR in its first 10 months and they are on track to grow that tenfold in the coming year. With rapid expansion across the UK underway, international growth is next starting with an ambitious launch in the US.
Role
They are now looking for data scientist to join their cross-functional product pods. They currently have a team of 8 within the data team, reporting to the Head of Data.
You’ll collaborate with product managers, designers, and engineers to build and maintain the core systems that power the company. The role is 4 days per week in Camden.
You will be working on cutting edge technology innovating in the hospitality flexible workforce sector. You will be implimenting AI to automate systems, processes and payroll working on LLM's and taking on a industry worth billions.
Technical Requirements:
* Expertise in one or more of the following areas: demand prediction, computer vision or optimisations
* Quantitative experience (statistics, time series forecasting, demand, traditional modelling, regression, numbers)
* Experience working on LLM's
* Demonstrable knowledge of Python AI libraries e.g., TensorFlow, PyTorch, Keras, Scikit-learn
* Software development experience in Python (with Django and Go)
* Demonstrated ability of productionising / deploying AI models
* Familiarity with the AWS cloud platform - AI/ML services such as SageMaker and Lambda
* University Degree in Computer Science, Engineering or Mathmatics
If you are interested in the Data Scientist | UK's Fastest Growing AI Hospitality Platform | £60K - £80K + Equity | Hybrid (4 Days) then drop over your CV and we will give you a call if we think you are a good fit!