Senior AI Scientist Advanced Analytics - CDAIO
hace 3 días
Boadilla del Monte
Overview As 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 / Beneficios • hybrid working model (remote + onsite), • learning platforms and SantanderOpen Academy, • competitive salary with performance-based bonuses, • BeHealthy wellness program, • childcare support, • exclusive employee discounts Responsabilidades, • Research, design, and implement advanced AI algorithms (ML, DL, NLP, and beyond) to solve complex problems, • Translate business challenges into scientific problem statements and build impactful ML/AI prototypes and models with business impact, • Work with large-scale structured and unstructured data to develop models that are accurate, fair, and sustainable, • Collaborate with Data Engineers, MLOps Engineers, Product Owners, and Business Stakeholders to deploy solutions into production, • Contribute to AI best practices, model governance, and responsible AI frameworks, • Stay current with the latest AI research and integrate relevant tools and techniques, • Communicate insights and results clearly to both technical and non-technical audiences, • Foster collaboration with academia and the global AI community to bring cutting-edge research into Santander Requisitos principales, • 5-8 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