Overview
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As a Senior AI Scientist within Santander’s DAISci, you lead local AI knowledge base projects, translating global standards into scalable, reliable knowledge representations and graph-based data for AI agents. You’ll collaborate with data, engineering, and product teams to connect structured and unstructured data, shaping schemas and retrieval pipelines for conversational systems. Your work enables global AI initiatives to operate at scale while respecting local constraints. This role offers hands-on scientific leadership with impact across markets and platforms.
Compensaciones / Beneficios
hybrid work model
learning platforms and SantanderOpen Academy
competitive salary with performance-based bonuses
BeHealthy wellness program
childcare support
Santander Contigo advisory services
Responsabilidades
Design, develop, and maintain local Knowledge Base instances with connected structured/unstructured data
Shape graph schemas, entity resolution, metadata, and retrieval pipelines to support AI agents and conversational systems
Ensure alignment with general standards while adapting to local regulatory, linguistic, and business constraints




Collaborate with data engineering and product teams to translate architecture into practical local solutions
Contribute to evaluation frameworks, monitoring, and continuous improvement of Knowledge Base components
Share learnings with global Knowledge Base leadership and propagate reusable patterns across markets
Requisitos principales
5–10 years of experience in AI, data science, or ML systems in production
Experience designing and operating scalable, reliable data pipelines or AI systems
Experience collaborating across engineering, product, and business teams to deploy AI-enabled systems
Ability to translate architectural guidance into practical local solutions xqbhyrx
Strong individual contributor with ownership in a distributed, multi-country AI organization
Expertise in knowledge representation, graph modeling, semantic data structures, or information retrieval
Practical background in ML and modern AI architectures related to structured knowledge and retrieval
Strong Python programming skills and familiarity with data processing and graph technologies
collaboration across cross-functional teams
scientific rigor and methodical approach
ownership and responsibility as an individual contributor
knowledge representation
graph modeling
semantic data structures

📌 Knowledge Base Scientist Senior - CDAIO (Madrid)
🏢 Grupo Santander
📍 Madrid