Scientist Responsible AI - CDAIO

Country: Spain

Overview

Job Description IT STARTS HERE Santander ( is evolving from a high-impact global brand to a technology-driven organization , and our people are at the heart of this journey. Together , we are driving a customer-centric transformation that values bold thinking, innovation , and the courage to challenge what's possible.

This is more than a strategic shift. It's an opportunity for motivated professionals to grow, learn, and make a real difference. Our mission is to help people and businesses thrive. As part of the global AI Transformation team, you'll lead and manage strategic AI initiatives that drive impact across global companies and key functions. We are looking for someone who connects business, AI, and technology, ensuring that AI solutions create measurable value.

THE DIFFERENCE YOU MAKE Santander's Data & AI Science (DAISci) team is the scientific engine of the bank's AI transformation. We develop, test, validate, and translate emerging AI methods into products that redefine how the bank learns, decides, and serves customers.

Main Responsibilities

This role will act as a key catalyst ensuring that AI is used responsibly, safely, and aligned with corporate standards.

The role combines scientific research with applied execution, advancing responsible AI methodologies, interpretability techniques, robust frameworks, and alignment strategies, while translating them into scalable, fair, and reliable systems.

You will collaborate closely with engineering, validation, governance, and product teams; contribute to Santander's research and publication agenda; explore emerging approaches in trustworthy AI; and mentor peers to strengthen the organization's expertise in responsible and reliable AI systems.

Education

• Advanced degree (PhD or MSc) in Computer Science, Artificial Intelligence, Mathematics, Statistics, or a related field, with specialization in Responsible AI, trustworthy machine learning, AI safety, fairness, interpretability, or AI governance. (Required).

Professional Experience

• Proven track record of advancing AI/ML through high-impact research publications, patents, open-source contributions, or transformative product innovations --- particularly in areas related to model robustness, fairness, explainability, privacy, or safety. (Required).
• Demonstrated ability to translate research into production, operationalizing concepts such as bias detection and mitigation, interpretability techniques (e.g., SHAP, counterfactuals, causal methods), robustness testing, model monitoring, uncertainty estimation, or safety guardrails into scalable and reliable systems. (Required).
• Experience in AI red teaming, including vulnerability analysis of conversational AI systems (LLMs), prompt injection, jailbreaks strategies, and security testing of generative AI applications. (Required).
• Experience conducting benchmarking and evaluation of AI/ML models, with particular focus on bias, fairness, and robustness assessments in both traditional ML systems and LLMs. (Required).

Hard Skills

• Strong programming skills in Python and familiarity with frameworks such as PyTorch, TensorFlow, DGL, or PyG. (Required).
• Deep understanding of responsible AI principles, including fairness metrics, model risk management, explainability techniques, adversarial robustness, privacy-preserving methods, and regulatory alignment (e.g., AI governance frameworks). (Required).
• Strong connections with academia and the wider AI research community, a passion for shaping the frontier of responsible AI, ability to shape research agenda. (Required).

Soft Skills

• Ability to collaborate effectively with both technical and non-technical stakeholders. (Preferred).

WE VALUE YOUR IMPACT

• We're enable our teams to go beyond through global opportunities and broad career paths.
• Flexibility that works. Enjoy a hybrid working models---some days remote, some days onsite with your team---along with flexible hours.
• Learning for life. Access hundreds of courses on our platforms, including exclusive access to our global learning space: Santander Open Academy (
• Competitive rewards. Receive a highly competitive salary with performance-based bonuses, motivating you to keep growing with us.
• Financial advantages. Benefit from preferential banking terms, special interest rates on loans, life insurance, and more.
• Your health is our priority. Through BeHealthy, our global wellness programme, we promote Holistic wellbeing.
• We know family is everything. That's why we offer childcare support and family-friendly programmes tailored to each life stage.
• Always by your side. Get access to Santander Contigo, our program for employees and their families offering legal, emotional, and administrative advisory services.
• Extra benefits. Gym/WellHub membership, medical centers in some of our facilities, meal subsidy, parking, shuttle service from various points in Madrid, as well as exclusive discounts and offers for Santander employees. And that's only the beginning---we'll tell you more when you join!

LOCAL COMPLIANCE

Santander is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation. We are committed to providing an inclusive and accessible application process for all candidates.