Ai scientist - data & ai office

At Santander (www.santander.com) we are key players in the transformation of the financial sector. Do you want to join us?

Our Chief Data & Artificial Intelligence Officer (CDAIO) division is building a world-class AI & Data team to make a difference in the lives of over 170 million people worldwide, through one of the largest banks in the world.

We are undergoing one of the biggest transformations in our history and technology is at the heart of our strategy. Join our team to play a part in one of the most important technological projects for the financial sector in the world.

Our mission is to contribute to helping more people and businesses prosper. We embrace a strong risk culture and all our professionals at all levels are expected to take a proactive and responsible approach toward risk management.

Santander is proud of being an organization where there are equal opportunities regardless of age, gender, disability, civil status, race, religion or sexual orientation.

This job offer is an opportunity not only to join a great company but also to collaborate in projects that have a real impact on society.

As an AI SCIENTIST, you will work with vast datasets to develop models that solve real-world problems, collaborate with talented colleagues across disciplines, and connect with the broader AI community to push scientific and practical boundaries.

We are looking for curious, driven AI scientists who want their work to drive innovation with real impact. If you love tackling big challenges, banking offers some of the most complex and high-stakes AI problems, from risk management to financial inclusion, done responsibly and on a scale.

We need someone like you to help us in different fronts:

• 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 that deliver 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.

• Ideally, 3-5 years of experience working with vast datasets and developing models.

• PhD or MSc in Computer Science, Mathematics, Physics, Engineering, or a related field.

• Demonstrable impact of AI solutions deployed in production environments, or strong publication record in top-tier AI/ML conferences or journals.
• Strong programming skills in Python or similar languages, and deep knowledge of AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, or Hugging Face Transformers.
• Experience in end-to-end model development, including experimentation, deployment, adaptation, and monitoring.
• Solid understanding of model evaluation metrics, bias mitigation, explainability, and fairness in AI.
• English level fluent or high.

• Hands-on experience with Generative AI, including large language models or diffusion models in production.
• Expertise in scalable AI infrastructure, cloud deployments, and MLOps.
• Deep domain knowledge in financial services or other regulated industries.
• Strong contributions to open-source projects or recognized leadership in the global AI community.

• Associate

• Full-time

• Information Technology
• Industries
• Banking

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