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Data Science Lead

Graduate Recruitment Bureau
Brighton
1 year ago
Applications closed

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Data Science Lead

Data Science/Analytics Lead – Private Credit/Asset Based Finance/Securitization

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Data Science Lead

Data Science Lead

Data Science Lead

A leading eCommerce business, known for their history of driving innovation and industry disruption.

Take the next step in your career and join one of the world's largest, pioneering and award-winning e-commerce retailers, then look no further than this exciting role as a Data Science Lead.

With a superb progression path, inclusive environment and "no idea is a bad idea" philosophy, this opportunity really is one like none other.

**The Role**

This position comes with a high level of autonomy in how you set the approach of the team on specific business problems, and how to seek out innovative solutions.

You will lead the report to the Director of data, while leading the data science team and ensuring their full value is unlocked. The expectation is that you identify, manage and supervise projects that touch all areas of the business - from marketing to supply chain - elevating the level of sophistication of analytics and modelling.

You’ll be collaborating with a range of stakeholders including those in online merchandising, where you will be thinking about product recommendation & optimising space on the website and those in trading and buying, as you look to reflect pricing policies and promotions and understand cannibalisation. When working with members of the Customer and Marketing world, you’ll be likely to use a combination of Market Mix Modelling & Attribution Modelling techniques.

The successful candidate will have:

Experience leading projects involving large datasets and complex statistical techniques Working with stakeholders and able to communicate effectively with non-technical persons The ability to translate complex business problems into achievable data science projects A deep understanding of key statistical concepts and machine learning techniques to solve complex problems. Familiarity with Cloud computing and experience with overseeing end-to-end development of data science projects in a Cloud environment. A strong academic record including a postgraduate degree in mathematics, statistics, or the sciences

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