Data Scientist

• Empower customers: Identify, design, and implement data- and AI-driven use cases for external clients across diverse industries.
• Build the backbone: Collaborate with other Data Engineers to enhance and integrate solutions into existing data and platform architectures.
• Explore what's next: Research emerging technologies and market innovations to support the development of advanced AI workflows and systems.
• Share your expertise: Plan and deliver Data Science & AI workshops that inspire teams and accelerate adoption.

• Excellent knowledge of Python and solid Data Science fundamentals (e.g., statistics, machine learning, model evaluation).
• Knowledge of data modeling and experience in designing analytical data structures.
• Experience with common Data Science & AI frameworks, such as pandas, scikit-learn, PyTorch or TensorFlow.
• Optional: Basic familiarity with Git or Linux is a plus, but not required.
• Background in supporting or driving enterprise AI transformation processes.
• Good German skills and fluent English.

At GK - a global leader in retail technology and part of the Fujitsu Group - you won't just manage projects. You'll help redefine how retailers use AI to elevate customer experiences, streamline operations, and unlock new business potential., Why Join GK? * Mission-driven: We simplify interactions in retail - for businesses and customers alike. * Empowered by flexibility: Remote-first, flexible hours - work where and how you thrive. * Security with vision: Permanent contract in a future-focused, stable environment. * Culture that connects: Open, collaborative, and people-first - with great coffee if you drop by . * Backed by strength: With 35+ years of retail tech expertise and as part of Fujitsu, a global IT leader. * Tech that scales: AI-powered solutions built to grow with the world's leading retailers. * Think global: 570,000+ installations in 65+ countries. Real impact, worldwide. Sounds good? Happy to hear from you… Not sure if you're 100% a match? Let's talk anyway. We're into potential, not perfection.