Santander’s Data & AI Science (DAISci) team is the scientific engine of the bank’s AI transformation, developing and translating AI methods into products and platforms
Job Summary
Santander’s Data & AI Science (DAISci) team is the scientific engine of the bank’s AI transformation, developing and translating AI methods into products and platforms.
The Senior AI Scientist leads the evolution of data science into AI Science, leveraging modern learning systems and agentic architectures to transform model design, evaluation, and operation.
The role offers a hybrid working model, flexible hours, extensive learning opportunities through Santander Open Academy, competitive rewards, and comprehensive wellness and family support programs.
Matching Summary
Santander’s Data & AI Science (DAISci) team is the scientific engine of the bank’s AI transformation, developing and translating AI methods into products and platforms.
Skills & Requirements
Must-have
modern learning systems
agentic architectures
graph-based learning
reinforcement learning
synthetic data generation
advanced retrieval methods
Generative AI
Nice-to-have
customer-centric transformation
bold thinking and innovation
proactive risk management
scientific rigor and measurable impact
Key Requirements
7-12 years of experience in data science, machine learning, or applied AI
Strong foundation in statistics and experimental design
Practical experience with modern AI techniques
Demonstrated ability to move from EDA to scalable AI systems
Experience contributing meaningfully within cross-functional teams