AI SCIENTIST (D/F/M)
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 AI Scientist (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 120 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
What you will do:
* Work closely with business stakeholders and consulting teams to deeply understand their operational and strategic challenges, translate complex business needs into data-driven AI solutions that drive performance and create impact.
* Wrap foundation models and classical ML into APIs, workers, and event driven services, designing clear interfaces with guards and fallbacks.
* Build the data and retrieval layer by creating loaders and embeddings, implementing vector and relational retrieval with caching and grounding strategies, and running evaluations to reduce hallucination and improve results.
* Containerize, test, and ship with CI, deploy to Kubernetes, instrument telemetry across traces, metrics, and logs, and define SLOs for latency, availability, and cost.
* Implement offline and online evaluations, red teaming, and guardrails for safety, privacy, and compliance.
* Build lightweight demos and developer experience assets such as simple UIs or notebooks, READMEs, playbooks, and reusable templates and components.
* Facilitate ideation workshops and present prototypes and insight, gather stakeholder insight and create solution architectures that can be implemented efficiently and at scale.
* Work closely with Data Engineers, Platform Engineers, and Product Managers, with mentorship from a senior AI Scientist/ML Engineer.
* Enable business stakeholders in working effectively with the AI solutions, ensuring adoption and continuous improvement of the solutions.
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., PyTorch, scikit-learn) and a good grasp of MLOps workflows for scalable model deployment.
* 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
Ifyouareinterested in this position, please click onApply Nowandsubmityour CV,all academicrecords,professionalreferences, desiredsalary,and your earliestpossible startdate.We kindly ask youto onlyapply 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.