Data Scientist AI (D/F/M), DHL Data & AI

Join DHL Data & AI as a Data Scientist AI, where you will leverage data science and AI to create impactful solutions. Collaborate with business stakeholders to understand their challenges and translate them into analytical approaches. A university degree in a quantitative field and 2-3 years of relevant experience are required. Strong programming skills in Python and SQL, along with a solid understanding of machine learning fundamentals, are essential. Enjoy a competitive salary and a flexible work arrangement. As a Data Scientist AI at DHL Data & AI, you will play a crucial role in leveraging data science and AI to create business value. You will collaborate with stakeholders to understand their challenges and translate them into analytical approaches. The ideal candidate will have a strong background in quantitative fields and experience in data science or AI engineering projects.

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 experience in business-relevant data science or AI engineering projects, ideally across end-to-end project lifecycles from concept to deployment.
• Strong programming skills in Python (preferred) and solid experience with SQL; familiar with software engineering best practices (version control, testing, code reviews, CI/CD).
• Proven experience in building backend services, data pipelines, or integrating ML/LLM components into production environments.
• Working knowledge of retrieval and RAG systems, agent orchestration, and the broader AI/LLM technology ecosystem.
• Solid understanding of machine learning fundamentals and experience developing and deploying models that generate real business impact.
• Practical experience with modern ML/AI frameworks (e.g., Py Torch, scikit-learn, Pydantic, Auto Gen) and a good grasp of MLOps workflows for scalable model deployment.
• Solid understanding of prompt versioning, agent tracing and RAG Evaluations metrics.
• Experience with cloud platforms (e.g., AWS, Azure, or GCP) and distributed data environments.
• Excellent communication and presentation skills in English, with the ability to articulate technical concepts and trade-offs to diverse audiences.
• Strong problem solving skills paired with a collaborative and proactive mindset.
• High level of curiosity, integrity, ownership, and a positive, results oriented attitude.
• Broad understanding of business contexts and experience in working on strategic or cross functional initiatives in a corporate environment.

What we offer:

At DHL Data & AI, we offer an array of benefits designed to support your professional growth and personal well-being. Here is what you can expect when you join our team:

• Comprehensive training programs, workshops, and e-learning resources to prioritize your growth and development.
• A flexible work arrangement that blends mobile work and office presence, promoting work-life balance and adaptability.
• A competitive salary package, inclusive of various benefits, to ensure employee well-being and satisfaction.
• Diverse commuting options, including a job ticket for public transportation, parking space for a monthly fee, or bicycle leasing, to suit your preference.
• Access to DHL Group's daycare facilities for working parents.
• A vibrant, inclusive, and cooperative international setting that inspires innovative thinking.

If you have any questions, please reach out to us via: dna.recruiting@dhl.com

If you are interested in this position, please click on Apply Now and submit your CV, all academic records, professional references, desired salary, and your earliest possible start date. We kindly ask you to only apply for one position at a time! We will reach out to you if we see a better match with another role in the team.

You can find us here:LinkedIn DHL Data & AI

CONNECTING PEOPLE. IMPROVING LIVES.

• 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 cul Responsibilities
• The candidate will partner with business stakeholders to understand their processes and challenges, translating them into analytical approaches.
• The candidate will collect, understand, and analyze the existing data landscape as a prerequisite for AI applications in close interaction with business experts.
• The candidate will develop scalable solution architectures and design systems that can be efficiently implemented at scale.
• The candidate will prepare, test, and release AI features, working with the team to deploy updates and monitor performance.
• The candidate will create simple demos, prototypes, and practical enablement materials to help colleagues and users get started quickly. Skills
• Strong programming skills in Python and solid experience with SQL are required.
• Proven experience in building backend services and data pipelines is essential.
• A solid understanding of machine learning fundamentals and experience developing and deploying models that generate real business impact is necessary. Education
• A university degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Engineering is required.