Senior Ai Scientist Advanced Analytics - Cdaio

SANTANDER CONSUMER BANK S.p.A

Boadilla Del Monte, Spain
Base: highly competitive salary; bonus/equity: per...
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Modern ai techniques
Scalable ai systems
Production-grade intelligent systems
** Santander Consumer Bank is seeking a Senior AI Scientist in Advanced Analytics to lead the evolution of data science practices into AI science, applying modern AI techniques to reshape financial systems. The role requires strong technical expertise, leadership capabilities, and collaboration with cross-functional teams to deliver scalable AI solutions. **

Job Summary

  • The Senior AI Scientist leads the evolution of traditional data science practices into AI Science, leveraging modern learning systems and agentic architectures.
  • The role combines execution with leadership: guiding project direction, mentoring peers, and ensuring that methodological choices are grounded in evidence and aligned with risk and governance requirements.
  • We offer a hybrid working model, flexible hours, and access to hundreds of courses on our platforms, including exclusive access to our global learning space: Santander Open Academy.

Matching Summary

Match Score: 75

** Santander Consumer Bank is seeking a Senior AI Scientist in Advanced Analytics to lead the evolution of data science practices into AI science, applying modern AI techniques to reshape financial systems. The role requires strong technical expertise, leadership capabilities, and collaboration with cross-functional teams to deliver scalable AI solutions. **

Salary

Base: highly competitive salary; Bonus/Equity: performance-based bonuses; Benefits: preferential banking terms, special interest rates, life insurance, childcare support, gym membership, meal subsidy, parking, shuttle service, exclusive discounts

Skills & Requirements

Must-have

  • modern AI techniques
  • scalable AI systems
  • production-grade intelligent systems
  • scientific rigor
  • measurable impact
  • Python and modern ML frameworks

Nice-to-have

  • customer-centric transformation
  • bold thinking
  • innovation
  • courage to challenge
  • holistic wellbeing

Key Requirements

  • 7–12 years of experience in data science, machine learning, or applied AI
  • Strong foundation in statistics, experimental design, and model evaluation
  • Practical experience with modern AI techniques
  • Demonstrated ability to move from exploratory data analysis to scalable AI systems
  • Experience contributing meaningfully within cross-functional teams
  • English level fluent or high

Work Rights

Not specified

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