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Richard Lloyd-Williams is a highly experienced data science and engineering leader, recognized for his pivotal role as a co-founder and former Head of Data at Monzo Bank. He was instrumental in building Monzo's data infrastructure and culture from the ground up, enabling the challenger bank to leverage data effectively for growth, product development, and customer insights. His expertise spans data strategy, machine learning, AI implementation, and scaling data teams in fast-paced tech environments. After Monzo, Richard continued to contribute his expertise to other innovative companies, including a significant role at N26 as Chief Data & AI Officer. He is known for his pragmatic approach to applying data science to solve real-world business problems and for his thought leadership in the data community. Currently, he is involved with General Ludd, focusing on AI and technology ventures.
Richard Lloyd-Williams's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Co-founded Monzo Bank and led its data division, establishing a data-driven culture and building the core data infrastructure that supported Monzo's rapid scaling and innovation in the fintech space. This included everything from analytics and business intelligence to machine learning for fraud detection and customer service.
Led the data and artificial intelligence strategy and operations for N26, another leading digital bank, focusing on enhancing data capabilities, implementing AI-driven solutions, and scaling the data organization to support international growth.
Co-founded General Ludd, an AI-focused company or venture studio, aiming to build and invest in cutting-edge artificial intelligence technologies and applications.
Active in the data science community, frequently sharing insights on building data teams, data ethics, and the practical application of AI and machine learning in business through talks, articles, and social media.
University of Cambridge
University of Oxford - Year 1993
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Manufacture 2030 (M2030) provides a software platform and support services designed to help manufacturers and their suppliers reduce costs and environmental impacts. Their tools enable businesses to measure, manage, and reduce emissions, water usage, and waste across their supply chains, aiming to accelerate the transition to sustainable manufacturing and achieve decarbonization goals. They empower organizations to collaborate with suppliers effectively, track progress, and identify carbon hotspots for targeted improvements.
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