AI in Practice: Lessons from a Career across Data Science, Machine Learning, and Banking

Artificial Intelligence is transforming how organizations make decisions, manage risk, and create value. Yet behind every technological breakthrough are professionals navigating complex career paths that combine technical expertise, business understanding, and responsible innovation. This fireside chat offers a practical perspective on what an AI career truly looks like inside a global financial institution.

In this conversation, Clara Higuera Cabañes will reflect on her professional journey across data science, machine learning, and Responsible AI. With more than fifteen years of experience spanning academia and industry, Clara has worked across the full AI lifecycle, from applied research and NLP development to leading data science teams and shaping global Responsible AI strategy.

The session will be conducted by Andrés Alonso Robisco, Academic Director of the Master in Financial Technology, whose work focuses on financial innovation and the impact of machine learning on banking and risk modelling. Together, they will explore how AI evolves from experimentation to real deployment, and how technical work translates into measurable business impact within highly regulated environments.

Through an interview style discussion, participants will gain insight into Clara’s experience applying Natural Language Processing to support financial advisors, managing data science initiatives in debt recoveries, contributing to Generative AI innovation, and leading Responsible AI initiatives at a global level. The conversation will also draw on her background in research and interdisciplinary collaboration, illustrating how AI professionals move between technical, strategic, and leadership roles throughout their careers.

Beyond technology, the session will address the broader transformation of the banking industry and the growing importance of governance, ethics, and trust in AI systems. Students will gain a clearer understanding of the skills, mindset, and adaptability required to build a sustainable career in artificial intelligence.

Attendees can expect practical takeaways including:

• How AI careers evolve over time inside industry organizations
• Real examples of machine learning applications in banking
• The role of Generative AI in current financial innovation
• Why Responsible AI is becoming central to business strategy
• Guidance for students interested in careers in data science, AI, and fintech

Designed as an open and engaging discussion, this event connects academic learning with real professional experience, offering students a realistic view of how artificial intelligence is shaping both careers and the future of financial services.