Dan Jermyn

Chief Decision Scientist at Commonwealth Bank

Dan Jermyn is a prominent figure in the field of data science and artificial intelligence, currently serving as the Chief Decision Scientist at Commonwealth Bank of Australia (CBA). Here's a comprehensive overview of his background and achievements:

Education and Early Career

Dan Jermyn holds a Master of Arts in Physics from the University of Oxford and a Master of Science from Cardiff University. His academic background laid the foundation for his future career in data science and analytics.

Professional Experience

Dan's career trajectory showcases his expertise in data-driven decision-making and analytics:

Commonwealth Bank of Australia: Joined in 2017 and currently serves as Chief Decision Scientist. Previously held positions such as Head of Data Science and Head of Digital and Customer, Customer Decisioning and Insights.1
Royal Bank of Scotland: Held various roles including Head of Big Data and Innovation and Head of Digital Analytics.1
Entrepreneurship: Co-founded and served as Director of Sitetagger, a successful digital technology startup.1
Academic Experience: Worked as a Researcher and Tutor at Cardiff University.

Achievements and Recognition

Dan Jermyn has received several accolades for his work in AI and data science:

Named in the Global AI Top 100 Thought Leaders by H20.ai and Evident Insights in August 2024.3
Received the Decisioning Client Excellence Award from Pega in August 2017 for the implementation of the Customer Engagement Engine at CBA.3
Featured in Harvard Business School case studies focusing on CBA's use of behavioral economics and AI in customer-centric design.3

Key Contributions at Commonwealth Bank

At CBA, Dan has been instrumental in developing and implementing innovative data-driven solutions:

Leads the team responsible for the Customer Engagement Engine (CEE), a sophisticated AI-powered system that manages communications with CBA's 15 million+ customers across all platforms.1 2
Focuses on harnessing AI, data science, experimentation, and behavioral economics to improve the financial wellbeing of CBA's customers and communities.1
Contributed to the development of world-first AI applications, including open-sourcing technology-assisted abuse detection.3

Industry Involvement

Dan is actively involved in the AI and data science community:

Co-chaired the industry track of ACM RecSys, demonstrating his leadership in the field of recommender systems and AI.5
Participates in industry events and conferences, sharing insights on AI and its applications in banking.4 6

Dan Jermyn's role as Chief Decision Scientist at Commonwealth Bank involves leveraging a broad range of disciplines beyond traditional data science, including behavioral economics, experimentation, and considering the wider implications of AI implementation on customers, staff, and the community.2