We are now recruiting for a Data Scientist to join the Customer Data Science team. The Customer Data Science team uses advanced modelling techniques to uncover our customers’ behaviours, preferences and intent to purchase. We aim to deliver targeted and personalised experiences across all customer touchpoints in collaboration with business stakeholders.
As a Data Scientist, you will be accountable for building and deploying robust statistical and machine learning models, exploring a wide range of new data sources, and generating reliable and actionable insights and recommendations. You will work closely with other data scientists and engineers to develop innovative solutions to use cases across the business related to the Burberry customer. Some examples of current work include:
- Propensity modelling: developing models to understand how likely a client or prospect is to purchase or interact with Burberry across multiple categories or time periods
- Product recommendations & discovery algorithms: Serving customers with tailored product recommendations throughout many brand touchpoints such as the website and emails.
- Client relationship intelligence: apply data-driven models and strategies to enable client advisors to build long-term engagement with their clients.
Are you a data scientist, or a recent graduate with an advanced degree in a quantitative field, and with a passion for using data, statistical modelling, machine learning and deep learning techniques to solve business problems and drive business value? If so, we’d love to hear from you.