2027 Graduate Talent Program – AI & Data Engineer – Zurich

The role is a 2027 Graduate Talent Program, AI & Data Engineer position at UBS in Zurich. UBS is a global wealth manager and universal bank, offering asset management and investment banking services. The company is headquartered in Zurich and operates in over 50 markets worldwide. The main responsibilities involve designing and building AI-ready data capabilities for investment management. This includes developing data products that are reliable, well-documented, and usable by various analytical and AI solutions. The role also involves collaborating with engineers, data owners, and business stakeholders to define data standards, quality controls, and ownership models. Additionally, the role requires contributing innovative ideas to drive innovation within the team. To qualify, candidates must be recent graduates with a degree in a MINT field, completed within the last 24 months. They should have no more than two years of full-time work experience and a minimum GPA of 4.5 according to the Swiss grading system. Strong communication skills, strategic thinking, and the ability to work under high demands and tight deadlines are essential. Knowledge of software engineering, data engineering, cloud technologies, and modern data architectures is required. Practical experience with AI, machine learning, or generative AI technologies is also necessary, along with the ability to articulate how responsible AI can create business value. Nice-to-have skills include a collaborative and dedicated work ethic, curiosity, and the ability to work in a global team spread across Switzerland, Poland, and India. The role offers opportunities to develop new skills, build a network, and participate in rotations to gain a broader understanding of the firm. The program is 18 months long and includes professional and technical training, as well as core skills and knowledge development. What the role asks for: - Degree in a MINT field - Degree within the last 24 months - No more than two years of professional experience - Minimum GPA of 4.5 according to the Swiss grading system - Knowledge in Software-Engineering, Daten-Engineering, Cloud-Technologien and modern data architectures - Practical experience with AI, machine learning or generative AI technologies - Ability to create measurable business value with responsible AI - Language skills not specified