Data Scientist AI

Creating value at DHL Group through Data & AI innovation At DHL Data & AI, our team’s purpose is to unleash the power of data science, drive cross-business unit AI solutions, foster a data-driven culture, and accelerate digitalization within DHL Group. Our support covers everything from project ideation to deployment, ensuring seamless integration. We also champion initiatives like group-wide data & analytics governance, technology incubation, training, and community building for sustainable analytics integration in DHL Group's long-term strategy by advancing Data & AI and driving digitalization across the organization. Join our growing team in Bonn full-time as Data Scientist AI (d/f/m) and become part of our collaborative and forward-thinking Data & AI community Who we are: DHL Data & AI is a Global Business Service Line in DHL Group, focusing on leveraging data to create business value. We are a dynamic, innovative, and diverse team with approximately 100 talented professionals, including Data Engineers, Cloud Engineers, DevOps Engineers, Data Scientists, and Architects. DHL Group is the leading mail and logistics service provider for the world. As one of the planet’s largest employers operating in over 220 countries and territories, we see the world differently. Join our team and discover how an international network that is focused on service, quality, and sustainability can connect people and improve lives through the power of global trade. And not just for our customers, but for every member of our team, too For this role we are looking for professionals with and excellent academic background who will work closely with business stakeholders and consulting teams to deeply understand their complex operational and strategic challenges and translate their needs into AI-driven solutions that create real-world impact. The ideal candidates are curious problem solvers who are energized by experimenting with new models and techniques to discover what AI can achieve. What you will do: - Partner with business stakeholders to understand their processes and challenges, translate them into analytical approaches, and generate ideas how data & AI can help. - Collect, understand and analyze the existing data landscape as pre-requisite for the AI applications in close interaction with the business experts. - Develop scalable solution architectures and design systems that can be efficiently implemented at scale. - Prepare, test, and release AI features, work with the team to deploy updates, monitor performance, and understand key indicators such as responsiveness, reliability, and cost. - Create simple demos, prototypes and practical enablement materials, such as lightweight UIs, playbooks, and templates to help colleagues and users get started quickly. - Prepare and deliver workshops, communicating insights and recommendations in a clear, structured manner. - Collaborate closely with Data Engineers, Platform Engineers, and Product Managers, working with senior AI Scientists or Machine Learning Engineers to grow your technical and professional skills. What you bring: - University degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering) or equivalent experience; business-related studies are a plus. - 2–3 years working