Job DescriptionFarfetch exists for the love of fashion. We believe in empowering individuality. Our mission is to be the global technology platform for luxury fashion, connecting creators, curators and consumers.
Commercial & Sustainability We're partnering with global brands and the most influential and renowned boutique curators to bring our customers an unrivalled range of fashion to empower their individuality. We’re relationship builders, we’re solution finders and we’re analysts. We work with all areas of the Farfetch business to improve our social and environmental impact while delivering business success. We want to empower our consumers to buy better, improve our operational footprint, and explore new business models that improve our impact.
LondonOur London office is located in Old Street, London’s tech hub, home to a broad range of teams including Commercial, Marketing, and Product. We have large open plan spaces and a feature staircase connecting our 3 floors, encouraging our collaborative and open culture. We also have a big outdoor terrace where we can have lunch and host social events when the sun comes out!
About the department:With our IPO in 2018 and recent acquisitions of CuriosityChina, Stadium Goods and New Guards Group, it’s never been a more exciting time to join the business. As a fast-growing fashion e-commerce business and a top tech fashion company, harnessing the value of the data generated by our activities is key to Farfetch’s future success. We solve complex problems with carefully defined approaches backed by data, and get to see the outcome of the implemented solutions impacting hundreds of employees and millions of customers.
About the role: We are looking for a Senior Data Scientist to join our effort in Pricing. We want to optimise, automate, and test our 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 pricing strategy. In particular, we are seeking to optimise the price over the lifecycle of our products, predict competitor pricing, and build out an experimentation framework for pricing initiatives. The objective is to be able to optimise, measure, and adapt our pricing strategy in an automated way inline 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.
What you will do:Design and develop state of the art algorithms focusing in particular on pricing optimisation.
Design and implement experimentation around pricing initiatives to measure impact and retrieve data for model building;
Collaborate with the engineering team to integrate machine learning (ML) algorithms into our backend or connect them to third-party tools;
Support the design and scoping of new Data Science Products, working with business stakeholders to identify key areas of potential growth for the company;
Communicate complex solutions in a clear and understandable way to both experts and non-experts. Who you are:You have a MSc or PhD in Machine Learning, Statistics, Mathematics or other quantitative discipline.
You have relevant industry experience in a Machine Learning, Data Science or Advanced Analytics role, ideally with exposure to pricing problems
Experience in Python software development (ideally on production-grade code, including code reviews, agile development, version control etc) and familiar with ML/scientific packages (e.g. Pandas, numpy, scipy, scikit-learn, gensim, keras, TensorFlow, PyMC3, PyStan, nltk, spacy);
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.
We are looking for a Senior Data Scientist to join our effort in Pricing.