Certificate of completion issued to
David Edbrooke
For completing
Data and AI Essentials in Financial Services Pathway
Completion date
05 Nov 2025
Delivered by
Accredited for
Certificate ID
510197f13afc421119eea904bd289e2d
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About Data and AI Essentials in Financial Services Pathway
9 Learning modules
2 hours of learning
4.7 rating
Competent level
In today's fast-evolving world of finance, data science and AI have become essential tools for transforming business operations, driving decision-making, and staying competitive. In this pathway, experts Elizabeth Stanley, Matt Lewis, and Paul dos Santos will guide you through the fundamentals and applications of these powerful technologies. You’ll discover how AI enhances efficiency, improves risk management, and enables personalised customer experiences in finance. Throughout this journey, you’ll gain insights into the diverse roles involved in AI projects, understand the importance of data quality, and learn to navigate the ethical and regulatory landscape of AI. By the end of this pathway, you’ll be equipped with the foundational knowledge and practical skills needed to implement AI responsibly and lead data-driven transformations in financial services.
In this pathway
Understand how AI drives efficiency, improves risk management, and enhances customer experiences in finance
Learn the importance of data quality and how it impacts AI-driven projects
Explore the roles involved in AI projects and their contributions to success
Navigate the ethical and regulatory considerations of implementing AI in financial services
Gain the foundational knowledge to lead and implement AI solutions responsibly
Pathway experts
Elizabeth Stanley
Data Scientist
Elizabeth Stanley is a dynamic engineering innovator, with a specialisation in Bioengineering, with a robust background in research, teaching. She excels in embedded systems, computational modelling, with a proficiency in data analysis, visualisation and machine learning. She currently serves as the Head Facilitator and Program Lead at ExploreAI Academy and she is very dedicated to advancing bioengineering and data science, actively engaging in groundbreaking research and empowering the next generation of African engineers and data scientists through comprehensive education and mentorship.
Matt Lewis
Data Consultant
Matt Lewis works as a consultant in the data space for 5 years, after he moved from the academic world to the world of data. He has helped clients in several domains, and with varying degrees of digital and data maturity, get to grips with their data and find ways to extract business value from it. Currently, as a program lead at Sand Technologies, he focuses on guiding a UK-based client in the water/wastewater sector, developing a value proposition for prospective clients, and mentoring junior managers in product development. His work involves collaborating with stakeholders up to the Director level to enhance business processes through data-driven solutions. He also holds a doctoral degree in Zoology and Animal Biology from the University of Cape Town.
Paul dos Santos
Senior AI Engineer
Paul dos Santos is a data professional with over a decade of experience, currently working as a Senior AI Engineer for Imagimob (an Infineon company). With a background in Geographic Information Science, he has developed AI systems across various industries, including consulting, manufacturing, social impact, and healthcare, using advanced data science techniques.