Scientist Responsible Ai - Cdaio

Job DescriptionSantander () 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.Main ResponsibilitiesYou 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 TableEducationAdvanced 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 ExperienceProven 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, jailbreak 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 SkillsStrong 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 SkillsAbility to collaborate effectively with both technical and non?technical stakeholders (Preferred).BenefitsGlobal opportunities and broad career paths.Hybrid working model with flexible hours.Access to hundreds of courses, including exclusive access to Santander Open Academy.Competitive salary with performance?based bonuses.Preferential banking terms, special interest rates on loans, life insurance, and more.Wellness programme through BeHealthy promoting holistic wellbeing.Childcare support and family?friendly programmes tailored to each life stage.Access to Santander Contigo, providing legal, emotional, and administrative advisory services for employees and families.Gym/WellHub membership, medical centres in some facilities, meal subsidy, parking, shuttle service from various points in Madrid, and exclusive discounts for employees.Equal OpportunitySantander 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.#J-*****-Ljbffr

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, jailbreak 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).

Global opportunities and broad career paths. Hybrid working model with flexible hours. Access to hundreds of courses, including exclusive access to Santander Open Academy. Competitive salary with performance?based bonuses. Preferential banking terms, special interest rates on loans, life insurance, and more. Wellness programme through BeHealthy promoting holistic wellbeing. Childcare support and family?friendly programmes tailored to each life stage. Access to Santander Contigo, providing legal, emotional, and administrative advisory services for employees and families. Gym/WellHub membership, medical centres in some facilities, meal subsidy, parking, shuttle service from various points in Madrid, and exclusive discounts for employees. Equal Opportunity 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. #J-*****-Ljbffr

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.