British clothing brand Burberry is seeking to further strengthen its analytics team as part of a long-term strategy to bring data science to the fore, which has already seen it set up the UK retail sector’s first data academy.
The recruitment drive includes vacancies for a lead data scientist, a digital marketing and trading analytics manager, a digital analyst and a data product engineer to join its growing team.
With more than 400 stores in 50 countries, the company’s digital strategy was first formulated in 2006 and is now fully embedded within the organisation.
According to Burberry’s vice-president of data and analytics Daragh Kelly, successful candidates “will use the most modern tools in the market” without any issues around legacy tech and have “a rare opportunity to apply data in a creatively driven company, combining art and science to create beautiful things”.
Over the past few years, Burberry has created a global omnichannel single-customer view, built an analytics platform and developed its digital analytics and data science team, which is already using advanced techniques like deep learning, machine vision and AI to drive value.
In October last year, the first cohort graduated from the company’s data academy, run alongside Decoded, with recognised advanced analytics qualifications covering machine learning, data visualisation and coding in Python.
At the time, Burberry chief information officer Mark McClennon said: “I’m very proud of our employees who have successfully graduated from our first data academy. It’s important that we continue to offer people the opportunity to grow in their roles and develop new skills. Partnering with Decoded to help us build our academy has been instrumental to keep upgrading data skills in line with the changing shift in consumer patterns.”
Building on this success Burberry plans to run a second course this year, expanding the programme across different departments.
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