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Santander

Global retail and commercial banking group

Artificial Intelligence Lead - Insurance Domain

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeMadrid, Spain

About the Job

Requirements

  • Proven experience with generative AI and AI/machine-learning applications in insurance.
  • At least 8 years of experience in AI/machine-learning roles with a strong applied problem-solving background.
  • At least 5 years of experience in Life, Property and Casualty, Health, or Reinsurance insurance, or insurance technology.
  • Demonstrated experience implementing AI/machine-learning solutions in underwriting, pricing, claims, fraud, or customer analytics.
  • Experience leading large-scale AI programs and managing multidisciplinary teams.
  • Strong understanding of actuarial concepts, risk modeling, and insurance key performance indicators, including loss ratio, combined ratio, retention, and claims leakage.
  • A Bachelor of Science or Master of Science degree in Computer Science, Artificial Intelligence, Mathematics, Actuarial Science, Engineering, or a related quantitative field.
  • Fluent English and Spanish.
  • Expert-level knowledge of machine-learning algorithms and predictive modeling.
  • Strong understanding of generative AI, large language model applications, and prompt engineering in regulated environments.
  • Proficiency in Python and AI development frameworks.
  • Experience with cloud AI platforms, including AWS, Azure, or GCP.
  • Knowledge of MLOps, model governance, and model risk management frameworks.
  • Understanding of actuarial modeling and insurance risk assessment processes.
  • Familiarity with insurance regulatory requirements, such as Solvency II, IFRS 17, and local supervisory frameworks.
  • Strong strategic thinking and innovation leadership capabilities.
  • Strong communication skills across technical and business stakeholders.
  • Advanced analytical and problem-solving skills.
  • Experience leading organizational change and AI-driven transformation in insurance environments.

Responsibilities

  • Develop and execute a comprehensive AI strategy aligned with insurance business objectives, including growth, loss ratio optimization, customer retention, and operational efficiency.
  • Identify and prioritize high-impact AI and generative AI use cases across the insurance value chain, including underwriting automation and risk scoring; pricing optimization and actuarial modeling enhancement; claims automation and fraud detection; customer service virtual assistants and policy servicing; and document intelligence for policy and claims processing.
  • Design and deploy AI-powered solutions to improve combined ratio, customer experience, and operational scalability.
  • Lead cross-functional teams from Data Science, IT, Actuarial, Risk, Operations, and Compliance in AI solution design and integration.
  • Oversee development, validation, and monitoring of machine-learning models for predictive analytics and risk modeling.
  • Ensure compliance with insurance regulatory frameworks, model governance standards, data privacy laws, and ethical AI principles.
  • Drive AI research, prototyping, and proof-of-concept initiatives focused on insurance innovation.
  • Establish and manage partnerships with AI technology vendors, insurtech firms, and research institutions.
  • Promote AI literacy and change management across insurance business units.

Desired Qualifications

  • AI, machine-learning, cloud, or data science certifications.

About the Company

Santander

Global retail and commercial banking group

Santander is a global bank focusing on retail and commercial banking in Europe and the Americas, serving individuals and SMEs with regional franchises and a broad consumer finance arm, plus a Corporate & Investment Banking division for multinational clients. It uses its Gravity cloud platform to migrate core banking and rapidly deploy digital services such as Openbank across markets, combining fintech-style agility with a bank's balance sheet. The bank differentiates itself by marrying a large retail footprint with global CIB capabilities under the One Santander verticals model to boost efficiency and cross-border revenue. Its goals include improving returns on tangible equity and financing the green economy through sustainable finance and renewable energy projects.

Company size
10,001+
Company stage
IPO
Headquarters
Boadilla del Monte, Spain
Founded
1902

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