We are looking for a Data Scientist to join our effort in Machine Learning (ML) for Commercial.
We want to optimise, automate, and test our planning and pricing actions on over 300,000 products on the Farfetch marketplace.
As the largest luxury fashion platform we work with over 3000 brand and boutique partners giving us an unrivalled breadth of stock, this creates a wide range of data science opportunities to make an impact by optimising our planning and pricing strategy.
In particular, we are seeking to optimise the supply we obtain and the price over the lifecycle of our products. The objective is to be able to optimise, measure, and adapt our planning and pricing strategy in an automated way aligned with business needs.
We are a pragmatic team and pick whatever technique is appropriate for the task at hand (including but not limited to Deep Learning, Gradient Boosting, Graph Modelling, Recommender Systems, etc), keeping an eye to what is happening in academia and in the industry to stay on top of recent developments.
We work in Python running on a Kubernetes cluster in Google Cloud.
We are looking for someone who is a self-starter, willing to own complex projects from start to finish and ensure their delivery.
This will require working with engineering teams to productionise and integrate data science solutions with the relevant internal business products.
What you'll do
Who you are
You have experience in using state of the art ML techniques in a business setting, such as Bayesian modeling, neural networks, graph ML, reinforcement learning etc, or a keen interest to learn.
Through your application, we want to understand the skills and experiences you have that make you the perfect fit for this role and for Farfetch.
We’re passionate about creating the conditions for Farfetchers to grow and develop but we’re also looking for people who can hit the ground running, so make sure to apply for a position where you feel you can thrive.