Knowledge Base Scientist Senior - Cdaio

Grupo Santander; Alcorcón; Hybrid; EUR 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary with performanceBon

Healthcare and wellness programs

Childcare support

Employee discounts

Job summary

Santander is seeking a Knowledge Base Scientist Senior to lead the local implementation of its AI Knowledge Base, focusing on knowledge representation, graph systems, and agent-ready data structures. The role balances hands-on development with alignment to global standards, ensuring scalable, reliable local AI systems.

You will work with data, engineering, and product teams to shape graph schemas, entity resolution, and retrieval pipelines across the local market, while adhering to regulatory

Qualifications

• 5–10 years of experience in AI, data science, or machine learning systems in production environments.
• Experience designing and operating data pipelines or AI systems with 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 local solutions aligned with global platforms.
• Ability to operate as a strong individual contributor within a distributed, multi-country AI organization.

Responsibilities

• Provide scientific and technical leadership for Santander’s AI Knowledge Base implementation.
• Design, develop, and maintain local instances of the KNOWLEDGE BASE for semantic connections and retrieval pipelines.
• Collaborate with data, engineering, and product teams to align with global standards while adapting to local constraints.

Skills

AI systems design

Data pipelines

Cross-functional collaboration

Individual contributor

Knowledge representation

Tools

Python

Graph technologies

Information retrieval

Job description

Knowledge Base Scientist Senior Compruebe que cumple con los requisitos de habilidades para este puesto, así como con la experiencia asociada, y luego envíe su CV a continuación. - CDAIOCountry: SpainIT STARTS HERESantander () 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. THE DIFFERENCE YOU MAKES Santander's Data & AI Science (DAISci) team is the scientific engine of the bank's AI transformation. DAISci develops, tests, validates, and translates emerging AI methods and models into products and platforms that redefine how the bank learns, decides, and operates at global scale. DAISci ensures learning systems and agents scale and remain reliable over time, and translates frontier AI research into trusted, large-scale decision systems that reshape how the bank learns, decides, and operates. This role offers a rare opportunity to apply frontier AI to reshape financial systems.

Main Responsibilities

The Senior AI Scientist provides scientific and technical leadership for the local implementation and evolution of Santander’s AI Knowledge Base, with a focus on knowledge representation, graph systems, and agent-ready data structures. The role is designed for a strong individual contributor capable of translating global architectural standards into reliable, high-impact local intelligent systems operating on scale. The Senior AI Scientist is responsible for designing, developing, and maintaining local instances of the KNOWLEDGE BASE, ensuring structured and unstructured data are connected, semantically described, and accessible to AI agents. The role applies principles of knowledge representation, graph modeling, and semantic indexing to support conversational systems, retrieval pipelines, and autonomous agents within the local market. Working hands‑on with data, engineering, and product teams, the Senior AI Scientist shapes graph schemas, entity resolution strategies, metadata structures, and retrieval pipelines, ensuring alignment with global standards while adapting to local regulatory, linguistic, and business constraints. This role contributes to evaluation frameworks, monitoring practices, and continuous improvement of Knowledge Base components. The position includes close collaboration with global Knowledge Base leadership, sharing learnings, contributing to reusable components, and helping propagate successful local patterns across markets. The role emphasizes scientific rigor, execution, and cross‑functional coordination, rather than broad organizational leadership.

WHAT YOU'LL BRING TO THE TABLE

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

Benefits

• We’re enable our teams to go beyond through global opportunities and broad career paths.
• Flexibility that works. Enjoy a hybrid working models—some days remote, some days onsite with your team—along with flexible hours.
• Learning for life. Access hundreds of courses on our platforms, including exclusive access to our global learning space: SantanderOpen Academy ( )
• Competitive rewards. Receive a highly competitive salary with performance-based bonuses, motivating you to keep growing with us.
• Financial advantages. Benefit from preferential banking terms, special interest rates on loans, life insurance, and more.
• Your health is our priority. Through BeHealthy, our global wellness programme, we promote Holistic wellbeing.
• We know family is everything. That's why we offer childcare support and family-friendly programmes tailored to each life stage.
• Always by your side. Get access to Santander Contigo, our program for employees and their families offering legal, emotional, and administrative advisory services.
• Extra benefits. Gym/WellHub membership, medical centers in some of our facilities, meal subsidy, parking, shuttle service from various points in Madrid, as well as exclusive discounts and offers for Santander employees. And that’s only the beginning—we’ll tell you more when you join!

Local Compliances

We’re 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.

Location: Boadilla del Monte

Type: Full time