Delivering Machine Learning at Scale – An agile approach to Model Governance
Delivering Machine Learning at Scale – An agile approach to Model Governance


Model Governance is arguably the most important (and the most unloved) part of any Data Science project within any organisation. The ability to operate safely at scale is what will enable Lloyds Banking Group to use Data Science to improve the lives of our ~20m customers across the UK. We are pioneering a new way of working which combines the wide breadth of data science with the delivery rigour of DevOps and Agile. Taking the pain out of Model Governance means that Data Scientists can focus on doing what they do best: delivering game-changing models across our entire organisation. In this session we’ll share our lessons learned, the growing pains and how we’re poised to deliver the next generation of Machine Learning and AI projects within Lloyds Banking Group.


Tom has spent the past few years building the Data Science Centre of Excellence at Lloyds Banking Group. With a background in Physics and Satellite Engineering, Tom didn’t expect to end up working in the Finance sector. However, having started has career working in retail credit risk, Tom saw the potential to bring the benefits of Machine Learning and AI to the masses and is now pioneering new ways of delivering change in the UK financial sector.

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