Python Automation & AI Solutions Developer Expert I

Santander, a global leader in financial services, is seeking a Python Automation & AI Solutions Developer Expert I for their IA Division. This role is crucial in their AI transformation journey, focusing on building and maintaining intelligent automation solutions that streamline operations and enhance analytics capabilities across the organization.

The position sits within the AI Special Projects team, which leads cross-AI and transversal initiatives under the Data and AI Global division. This team plays a vital role in connecting AI with the strategic priorities of the Group, ensuring alignment, governance, and impact tracking across the function.

As a Python Automation & AI Solutions Developer, you'll be responsible for designing and developing sophisticated automation solutions that combine Python programming with cutting-edge AI technologies like OCR, NLP, and machine learning. You'll work in an Agile environment, collaborating with business stakeholders to translate requirements into robust, maintainable solutions.

The role requires strong technical expertise in Python development, data mining, and AI integration, along with the ability to analyze complex business problems and implement efficient solutions. You'll be working on high-impact projects that directly contribute to the organization's digital transformation efforts.

This position offers an opportunity to work at the intersection of technology and business, helping Santander leverage AI as a core driver of business transformation. You'll be part of a team that ensures AI delivers value at scale, working with talented colleagues from around the world in an environment that prioritizes continuous learning and innovation.

The ideal candidate brings 4+ years of Python development experience, strong analytical skills, and a deep understanding of AI/ML technologies. This role is perfect for someone who wants to be at the forefront of AI implementation in the financial sector, working on projects that have real-world impact across a global organization.