At Santander, we drive transformation through data and artificial intelligence. Our Data & AI teams work to build solutions that optimize decision-making, enhance customer experience, and make banking safer, more efficient, and more human.

Our Responsible AI principles

Our Data and Artificial Intelligence Corporate Framework, approved by the Board of Directors, sets the principles every Data & AI use case is built and operated under. Supervised through a three-lines-of-defence model, with independet oversight proportionate to risk.

01. Transparency. AI systems are designed and operated so users always know when they are interacting with AI - reinforcing informed understanding, autonomy and trust in their use.

03. Accountability. AI systems must comply with industry standards and regulation across their full lifecycle — design, implementation, and monitoring. Clearly defined owners ensure proper functioning and compliance.

05. Contribution to value & well-being. AI must create clear value for customers, employees, and the organisation, while avoiding uses with disproportionate social or political impact.

02. Fairness & bias mitigation . AI must avoid unfairly discriminatory outcomes. Bias mitigation is applied proportionally to risk, considering each system’s purpose and applicable regulation.

04. Privacy, data protection & security. AI use complies with data protection laws, applying data minimisation, anonymisation, and privacy-by-design. Impact assessments and cybersecurity measures safeguard individual rights.

What we are doing with AI

Our Global Data & Artificial Intelligence function is structured around four operational pillars — each one tied to outcomes for the people we serve.

We integrate AI and advanced automation into the moments that matter — from how a question is answered to how a product is offered, with conversational interfaces that meet people where they are.

Common standards for data quality, traceability, and governance from origin through full lifecycle so AI is used where it improves outcomes for the customer, not only for the bank.

Analytical models and scalable solutions deployed under a single global standard, in business-led teams that combine data, analytics, technology, risk and compliance from day one.

Mandatory responsible-AI training for every employee working with these systems, and a structured upskilling programme so the cultural shift this transformation requires reaches across the Group.

The future of banking is being rewritten. We intend to write it well.

Our impact

Open Source

Some of our work is open to the world. Explore the tools, datasets and models we have made available to the research and developer community.

Public repositories are being prepared — link coming soon.

Looking to build your career in Data & AI? Explore opportunities at Santander →