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# Senior Ai Scientist Advanced Analytics - Cdaio

- **Company:** Banco Santander, S.A.
- **Location:** Boadilla del Monte, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Computer Programming, Python (Programming Language), Open Source Technology, Cloud Services, Tensorflow, Unstructured Data, Working Model 2D, Pytorch, Large Language Models, Generative AI, Scikit Learn, Information Technology, HuggingFace, Machine Learning Operations
- **Published:** September 16, 2026
- **Apply:** https://www.buscojobs.com.es/senior-ai-scientist-advanced-analytics-cdaio-en-boadilla-del-monte-ID-372147247

## About the Role

Requisitos principales5-8 years of experience with large datasets and model development
PhD or MSc in Computer Science, Mathematics, Physics, Engineering, or related field
English: fluent or high; Spanish: preferred
Proven impact of AI solutions deployed in production or strong publication record in top AI/ML venues
Strong programming skills (Python or similar) and experience with AI/ML frameworks (PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers)
End-to-end model development experience (experimentation, deployment, adaptation, monitoring)
Solid understanding of evaluation metrics, bias mitigation, explainability, and fairness in AI
Hands-on experience with Generative AI (LLMs or diffusion models) in production
Experience with scalable AI infrastructure, cloud deployments, and MLOps
Deep domain knowledge in financial services or regulated industries
Contributions to open-source projects or leadership in the global AI community
Curiosity and drive to tackle big challenges
Strong communication to both technical and non-technical audiences
Cross-functional collaboration
Python or similar languages
PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers
Generative AI with large language or diffusion models

## Description

OverviewAs a Senior AI Scientist in Santander's CDAIO, you will develop advanced AI models on large datasets to solve real-world banking problems.You will translate business challenges into scientific goals, build production-ready prototypes, and collaborate across disciplines to scale responsible AI solutions.You'll contribute to best practices, model governance, and cutting-edge research while engaging with academia and the global AI community.This is a mission-driven role at a world-class financial technology leader.Compensaciones / Beneficioshybrid working model (remote + onsite)learning platforms and SantanderOpen Academycompetitive salary with performance-based bonusesBeHealthy wellness programchildcare supportexclusive employee discountsResponsabilidadesResearch, design, and implement advanced AI algorithms (ML, DL, NLP, and beyond) to solve complex problemsTranslate business challenges into scientific problem statements and build impactful ML/AI prototypes and models with business impactWork with large-scale structured and unstructured data to develop models that are accurate, fair, and sustainableCollaborate with Data Engineers, MLOps Engineers, Product Owners, and Business Stakeholders to deploy solutions into productionContribute to AI best practices, model governance, and responsible AI frameworksStay current with the latest AI research and integrate relevant tools and techniquesCommunicate insights and results clearly to both technical and non-technical audiencesFoster collaboration with academia and the global AI community to bring cutting-edge research into SantanderRequisitos principales5-8 years of experience with large datasets and model developmentPhD or MSc in Computer Science, Mathematics, Physics, Engineering, or related fieldEnglish: fluent or high; Spanish: preferredProven impact of AI solutions deployed in production or strong publication record in top AI/ML venuesStrong programming skills (Python or similar) and experience with AI/ML frameworks (PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers)End-to-end model development experience (experimentation, deployment, adaptation, monitoring)Solid understanding of evaluation metrics, bias mitigation, explainability, and fairness in AIHands-on experience with Generative AI (LLMs or diffusion models) in productionExperience with scalable AI infrastructure, cloud deployments, and MLOpsDeep domain knowledge in financial services or regulated industriesContributions to open-source projects or leadership in the global AI communityCuriosity and drive to tackle big challengesStrong communication to both technical and non-technical audiencesCross-functional collaborationPython or similar languagesPyTorch, TensorFlow, Scikit-learn, Hugging Face TransformersGenerative AI with large language or diffusion models


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