Senior AI Scientist Advanced Analytics
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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
- 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
- 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
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