In ‘An Eggxact Science’, we’ll take a light hearted and informative look at how customer demand models are built and used to keep supermarket shelves full. The talk will start out with a conceptual and non-technical overview of demand modelling, before discussing some of the challenges of using machine learning models in production and how the culture and ways of working of a Data Science team can impact performance.
The talk would be of interest to people who want to learn more about how to build an effective Data Science function and those who want to see how machine learning can be used to deliver improved business performance. It will predominantly be a non-technical discussion with some technical discussion, so is suitable for both technical and non-technical audiences.
Peter is a Data Scientist Leader and innovator, who has over 20 years experience of working with global brands on their use of data and analytics. Peter currently leads the Data Science function at Morrisons, having set up the function from scratch in 2019. Prior to this, he worked as a Data Science consultant, specialising in the use of graph theory and network analytics to solve business problems in Marketing and Social Media Analytics. Peter continues to collaborate with leading Universities researching new ways to connect maths and technology to drive profitable business change.
