Senior Data Scientist
- AI Evaluation & Product Country: IT STARTS HERE Santander ( ) is evolving from a high-impact integral 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. 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. SENIOR / LEAD DATA SCIENTIST
- AI EVALUATION & PRODUCT Santander's Data & AI Science (DAISci) team is the scientific engine of the bank's AI transformation. We develop, evaluate, validate, and translate advanced Data Science and AI methods into robust products and capabilities that create measurable value across the organization. We combine rigorous analysis with pragmatic execution to address complex challenges and build scalable, reliable, and production-ready solutions. We are seeking a Senior Data Scientist or Lead Data Scientist to drive the design and delivery of analytical frameworks, methodologies, and products focused on the evaluation and continuous improvement of AI systems. The ideal candidate is a versatile and experienced Data Scientist who combines scientific rigor with a pragmatic product mindset.



Lead Data Science initiatives end to end, from problem framing and prioritization through experimentation, implementation, deployment, and continuous improvement. Design methodologies, metrics, benchmarks, and testing strategies to evaluate the quality, performance, reliability, and behavior of AI systems. Apply statistical analysis, experimentation, machine learning, and advanced analytics to solve complex real-world problems. Build high-quality analytical assets, prototypes, and production-oriented capabilities using sound software engineering and Data Science practices. Use data and evidence to generate actionable insights, support decisions, and identify opportunities for product and system improvement. Drive technical quality, reproducibility, testing, documentation, and maintainability across Data Science work. MSc or PhD in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or another related quantitative field. Experience evaluating AI systems, machine learning models, or intelligent applications through benchmarking, experimentation, or quality-assessment frameworks. Strong professional experience delivering Data Science or Machine Learning solutions in complex, real-world environments. Deep scientific and analytical foundations, including statistics, experimentation, model evaluation, and machine learning.

📌 Senior Data Scientist (Comunidad de Madrid)
🏢 Banco Santander
📍 Comunidad de Madrid