Más empleos:
Scientist AI - CDAIO
Trabajo disponible en:
28660, Boadilla del Monte, Madrid, España
Publicado en 2026-09-10
Empresa:
Banco Santander SA
Tiempo completo
puesto Publicado en 2026-09-10
Especializaciones laborales:
-
TI/Tecnología
Inteligencia Artificial, Ingeniero de IA, Científico de datos
Descripción del trabajo
## Scientist Responsible AI - CDAIOCandidatar-selocations:
Boadilla del Montetime type:
Tempo Integral posted on:
Publicado hojejob requisition :
Req
1488623
Scientist Responsible AI - CDAIOCountry:
Espanha
** 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.
DAISci operates at the intersection of advanced research and real-world impact — translating frontier AI into robust, compliant, and production-ready systems across risk, customer experience, operations, and beyond.
Joining DAISci is a rare opportunity to apply state-of-the-art AI in one of the world’s largest financial institutions, shaping intelligent systems that are not only powerful, but also trusted, transparent, and aligned with societal expectations.
This role will act as a
** key catalyst
** ensuring that AI is used responsibly, safely, and aligned with corporate standards.
*
* Main Responsibilities:
** We are seeking an
** AI SCIENTIST*
* ** specializing in RESPONSIBLE AI.
** You will contribute to the development and operationalization of Santander’s AI principles, working across the different areas of the DAISci group to ensure we build safe, trusted, and responsible AI throughout the full lifecycle of our products — from design to deployment and monitoring.
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.
** WHAT YOU'LL BRING TO THE TABLE
***
* 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,…
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