Technology Graduate

Navigating the AI expedition

Our journey into AI isn’t just a technical one - it’s an expedition of curiosity, collaboration, and discovery. That’s why we launched AI-venture, a global, immersive initiative where our graduates are diving into the real-world potential of AI.

From Poland to Qatar, India to Switzerland, and throughout our APAC and US regions, our grads joined forces to tackle practical challenges using machine learning. With expert mentors and in-person sessions across 11 locations, AI-venture is about sharpening skills, building networks, and unlocking what AI can truly do.

How has working at UBS helped you learn about or get involved with AI early in your career?

What’s been especially impactful is how AI learning is embedded into the Graduate Talent Program.

Programs like the AI-venture and the Global Coding Lab have not only enhanced my technical skills but also allowed me to work on real-world projects, which has been invaluable.

Can you tell us about one of your most memorable AI experiences?

The AI-venture event! We were given a real UBS financial dataset and tasked with selecting the best models for different scenarios and use cases.

After successfully running the model, we focused on fine-tuning its performance. Throughout, we had close support from AI mentors, whose guidance was invaluable. The highlight was presenting our work to senior leaders driving AI at UBS, an incredible opportunity to showcase our efforts and gain expert feedback.

What support or resources helped you most when learning to use AI at UBS?

We have access to a wealth of free training material on AI, which has been instrumental in my learning journey.

Platforms like Pluralsight and O'Reilly have been particularly helpful. Additionally, The Certified Data Scientist course, offers guided learning and structured pathways to upskill in AI.

Why do you think it’s important for junior professionals to understand AI – regardless of their role?

As AI becomes more integrated into society, understanding its ethical implications is essential.

Young professionals equipped with AI knowledge can contribute to discussions on responsible AI to help ensure that AI technologies are developed and deployed ethically.