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# AI Scientist Advanced Analytics

- **Company:** Banco Santander, S.A.
- **Location:** Boadilla del Monte, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Automated Storage and Retrieval Systems, Computer Programming, Learning Management Systems, Data Cleansing, Distributed Data Store, Python (Programming Language), Machine Learning, Tensorflow, Reinforcement Learning, Model Validation, Generative AI, Data Generation
- **Published:** August 4, 2026
- **Apply:** https://www.jobleads.com/es/job/eb17381839da157dae1732cb8aad33829

## About the Role

* 7-12 years of experience in data science, machine learning, or applied AI, with demonstrable impact in production environments.
 * Strong foundation in statistics, experimental design and model evaluation, with experience translating business questions into testable hypotheses.
 * Practical experience with modern AI techniques such as graph-based models, reinforcement learning, synthetic data generation, representation learning, or advanced retrieval systems.
 * Demonstrated ability to move from exploratory data analysis to scalable AI systems that operate reliably over time.
 * Strong programming skills (e.g., Python and modern ML frameworks) and familiarity with distributed data or ML environments.
 * Experience contributing meaningfully within cross-functional teams, while maintaining ownership of technical components and project outcomes.
 * Ability to lead project-level execution as a senior individual contributor, combining hands-on development with methodological guidance.
 * Curiosity and openness to emerging AI tools and paradigms, with a disciplined approach to validating their real-world applicability.

## Description

The Senior AI Scientist in Advanced Analytics leads the evolution of traditional data science into AI Science, leveraging modern learning systems and agentic architectures to transform how models are designed, evaluated, and operated. The role combines a strong individual contributor focus with leadership of project direction. You will frame business challenges as scientific problems, design experimental strategies, and deploy advanced modeling approaches that go beyond conventional pipelines, applying graph-based learning, reinforcement learning, synthetic data generation, advanced retrieval methods, and Generative AI where appropriate. You will work hands-on within project squads, contributing to data preparation, model design, experimentation, validation, and operationalization. Your role emphasizes scientific rigor, measurable impact, and long-term system behavior, and requires collaboration with engineering, product, and business stakeholders to evolve prototypes into reliable systems


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