Michael Lardakis is a highly accomplished and visionary leader in the field of Data Science and Artificial Intelligence, currently serving as the Head of Data Science at Lloyds Banking Group. With over 16 years of extensive experience, he has a strong track record of building and leading high-performing data science teams, developing and implementing data-driven strategies, and delivering significant business value through advanced analytics, machine learning, and AI solutions. His career has spanned several prominent organizations, including HSBC, where he was the Global Head of Advanced Analytics & AI, and Dunnhumby, where he led data science initiatives for major retail clients. Michael is recognized for his ability to translate complex data insights into actionable business strategies, drive innovation, and foster a culture of data literacy and excellence within large-scale enterprises, particularly in the financial services and retail sectors. He holds a PhD in an analytical field, underpinning his deep technical expertise.
Michael Lardakis's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully established and scaled data science functions and AI capabilities within leading global financial institutions like Lloyds Banking Group and HSBC, aligning data strategy with core business objectives to drive transformation and competitive advantage.
Led teams in the design and deployment of numerous impactful machine learning models and AI-driven products across areas such as risk management, customer analytics, fraud detection, and operational efficiency, delivering measurable business outcomes.
Instrumental in attracting, developing, and mentoring top-tier data science talent, fostering an innovative and collaborative environment that encourages continuous learning and impactful contributions.
During his tenures at Dunnhumby and Teradata, drove significant advancements in customer analytics, personalization, and data monetization strategies for major retail and financial clients, leveraging cutting-edge analytical techniques.
Consistently champions the adoption of emerging technologies and methodologies in data science and AI, contributing to the broader industry discourse and ensuring organizations remain at the forefront of data-driven innovation.
The Ohio State University - Year 2007
University of the Aegean - Year 2010
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