Data Scientist AI , DHL Data & AI
Role details
Job location
Tech stack
Job description
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!, * 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.
Requirements
- 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., PyTorch, scikit-learn, Pydantic, AutoGen) 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.
Benefits & conditions
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.
Requirements: 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.