Data Scientist- Marketing

UK London

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Farfetch
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Posted 1 week ago

FARFETCH exists for the love of fashion. Our mission is to be the global platform for luxury fashion, connecting creators, curators and consumers.

We're a positive platform for good, bringing together an incredible creative community made up by our people, our partners and our customers. This community is at the heart of our business success. We welcome differences, empower individuality and celebrate diverse skills and perspectives, creating an inclusive environment for everyone. We are FARFETCH for All.
DATA
We're a Data team that does it all: big data engineering, machine learning, and deep-dive analytics and insight. We're a diverse, global team who create Data solutions to provide an unrivalled customer experience. Whether it's churning gigabytes of ecommerce data, using AI to recommend the latest trends, or understanding our customers better than anyone else, we use data to promote FARFETCH's growth.
LONDON
Our London office is located in Old Street, London's tech hub, and is home to a broad range of teams including Commercial, Marketing, and Product. Our open plan space is ideal for collaborative working and sharing ideas, or you can enjoy some quiet time in our dedicated library. We also have a large outdoor terrace which is the perfect spot to have a team lunch or host events.
THE ROLE
Our mission is to automate Marketing operations, applying our understanding of the customers to improve the way we communicate with them across multiple channels and provide a personalised marketing experience. Reporting to the Lead Data Scientist of the Marketing Data Science team, you'll be part of a small team able picks whatever technique is appropriate for the task at hand (including Deep Learning, Gradient Boosting, Graph Modelling, Recommender Systems, Reinforcement Learning), keeping an eye to what is happening in academia and in the industry to stay on top of recent developments. We work with large volumes of data, in Python running on Kubernetes in Google Cloud.

WHAT YOU'LL DO

  • Develop ML algorithms, focusing in particular on customer behavioural models and models to improve the operations of Marketing channels;
  • Work together with the engineering team to productionise and integrate ML algorithms into our backend or connect them to third-party tools;
  • Support experimentation to measure the impact of our models;
  • Communicate complex solutions in a clear and understandable way to both experts and non-experts.

WHO YOU ARE

  • Degree in Machine Learning, Statistics, Mathematics or another quantitative discipline;
  • Experience in a Machine Learning or Data Science role (exposure to Marketing or Loyalty problems is a bonus)
  • Experience in Python software development (production-grade code, including code reviews, agile development, version control) and familiar with ML/scientific packages (e.g. Pandas, numpy, scipy, scikit-learn, keras, TensorFlow, PyTorch, PyMC3, or PyStan)

REWARDS & BENEFITS

  • FARFETCH Equity plan and annual discretionary bonus
  • Flexible benefits - Private Medical Insurance, Dental Insurance, Gym Memberships, Pension scheme and more
  • Critical Illness Insurance and Life Assurance
  • Access to Unmind: an independent and completely confidential digital mental health platform
  • Flexible working environment and more!

EQUAL OPPORTUNITIES STATEMENT

  • FARFETCH is an equal opportunities employer ensuring that all applicants are treated equally and fairly throughout our recruitment process. We are determined that no applicant experiences discrimination on the basis of sex, race, ethnicity, religion or belief, disability, age, gender identity, ancestry, sexual orientation, veteran status, marriage and civil partnership, pregnancy and maternity, or any other basis prohibited by applicable law. We continue to build our consciously inclusive culture as part of our Positively FARFETCH strategy throughout our business, partnerships and communities.
We are looking for a Data Scientist to join our global effort in Machine Learning applied to Marketing.
Job tags: AI Big Data Deep Learning Engineering Keras Kubernetes Machine Learning Marketing ML NumPy Pandas Python PyTorch Scikit-Learn SciPy TensorFlow
Job region(s): Europe
Job stats:  6  2  0
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