Knowledge Base Scientist Senior - Cdaio

Banco Santander, S.A.
Madrid, Spain
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Structures Information Retrieval Python (Programming Language) Machine Learning Data Processing Knowledge Representation Machine Learning Operations Data Pipelines

Job description

IT STARTS HERE Santander (), based in Spain, is evolving from a high?impact global brand to a technology?driven organization.Our mission is to help people and businesses thrive.As part of the global AI Transformation team, you will lead and manage strategic AI initiatives that drive impact across global companies and key functions.Main ResponsibilitiesThe Senior AI Scientist provides scientific and technical leadership for the local implementation and evolution of Santander’s AI Knowledge Base.Focus areas include knowledge representation, graph systems, and agent?ready data structures.The role involves designing, developing, and maintaining local instances of the Knowledge Base, shaping graph schemas, entity resolution strategies, metadata structures, and retrieval pipelines, and contributing to evaluation frameworks and monitoring practices.You will collaborate closely with global Knowledge Base leadership and cross?functional teams.Professional Experience5-10 years of experience in AI, data science, or machine learning systems in production environments.Demonstrated experience designing and operating data pipelines or AI systems with requirements in high scalability, reliability, and maintainability.Experience collaborating across engineering, product, and business teams to deploy AI?enabled systems.Ability to translate architectural guidance into practical, working local solutions aligned with global platforms.Comfort operating as a strong individual contributor with ownership and responsibility within a distributed, multi?country AI organization.Hard SkillsStrong expertise in knowledge representation, graph modeling, semantic data structures, or information retrieval systems.Practical background in machine learning and modern AI architectures, particularly where they intersect with structured knowledge and retrieval.Strong Python programming skills and familiarity with data processing and graph technologies.Ability to translate architectural guidance into practical, working local solutions aligned with global platforms.Comfort operating as a strong individual contributor with ownership and responsibility within a distributed, multi?country AI organization.BenefitsCompetitive salary with performance?based bonuses.Access to hundreds of courses on Santander Open Academy.Flexible hybrid work model with remote and onsite days.Preferred banking terms, special interest rates on loans, life insurance, and other financial advantages.Wellness program through BeHealthy and wellness facilities.Childcare support and family?friendly programmes.Legal, emotional, and administrative advisory services through Santander Contigo.Gym membership, medical centre access, meal subsidies, parking, shuttle service, and additional discounts for employees.Equal Opportunity StatementSantander 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

Requirements

5-10 years of experience in AI, data science, or machine learning systems in production environments. Demonstrated experience designing and operating data pipelines or AI systems with requirements in high scalability, reliability, and maintainability. Experience collaborating across engineering, product, and business teams to deploy AI?enabled systems. Ability to translate architectural guidance into practical, working local solutions aligned with global platforms. Comfort operating as a strong individual contributor with ownership and responsibility within a distributed, multi?country AI organization. Hard Skills Strong expertise in knowledge representation, graph modeling, semantic data structures, or information retrieval systems. Practical background in machine learning and modern AI architectures, particularly where they intersect with structured knowledge and retrieval. Strong Python programming skills and familiarity with data processing and graph technologies. Ability to translate architectural guidance into practical, working local solutions aligned with global platforms. Comfort operating as a strong individual contributor with ownership and responsibility within a distributed, multi?country AI organization.

Benefits & conditions

Competitive salary with performance?based bonuses. Access to hundreds of courses on Santander Open Academy. Flexible hybrid work model with remote and onsite days. Preferred banking terms, special interest rates on loans, life insurance, and other financial advantages. Wellness program through BeHealthy and wellness facilities. Childcare support and family?friendly programmes. Legal, emotional, and administrative advisory services through Santander Contigo. Gym membership, medical centre access, meal subsidies, parking, shuttle service, and additional discounts for employees. Equal Opportunity Statement 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

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