Advanced degree in computer science or related field
Python programming with pytorch or tensorflow
Expertise in fairness metrics and bias mitigation
This role acts as a key catalyst ensuring that AI is used responsibly, safely, and aligned with corporate standards across the full product lifecycle
Job Summary
This role acts as a key catalyst ensuring that AI is used responsibly, safely, and aligned with corporate standards across the full product lifecycle.
The position combines scientific research with applied execution to advance methodologies in interpretability, robustness, and safety guardrails.
Candidates will collaborate with engineering, validation, and governance teams while contributing to Santander's research agenda and publication efforts.
Matching Summary
This role acts as a key catalyst ensuring that AI is used responsibly, safely, and aligned with corporate standards across the full product lifecycle.
Salary
Competitive salary; Performance-based bonuses; Preferential banking terms and wellness benefits
Skills & Requirements
Must-have
Advanced degree in Computer Science or related field
Python programming with PyTorch or TensorFlow
Expertise in fairness metrics and bias mitigation
Experience with SHAP, counterfactuals, and causal methods
Knowledge of regulatory alignment and AI governance
Nice-to-have
Strong connections with academia and research community
Track record of high-impact research publications
Passion for shaping the frontier of trustworthy AI
Ability to mentor peers on responsible AI systems
Key Requirements
PhD or MSc in Computer Science, AI, Mathematics, or Statistics
Proven track record in model robustness, fairness, or explainability
Demonstrated ability to translate research into production systems