Associate Data Scientist AI , DHL Data & AI
Role details
Job location
Tech stack
Job description
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 Associate Data Scientist AI (d/f/m) and become part of our extraordinary and forward-thinking Data & AI community!, We are looking for best-in-class graduates who are eager to apply their academic foundation in AI, data science, or related fields to real-world challenges. In this role, you will work closely with business stakeholders and consulting teams to understand their needs and help develop AI-driven solutions that create measurable impact. This position is ideal for curious, proactive problem solvers who enjoy working with and exploring new techniques and are excited to learn how modern AI technologies can support decision-making and improve performance. What you will do:
- Support business stakeholders in adopting AI solutions by helping explain features, gathering user feedback, and contributing to continuous improvements.
- Assist in shaping the data and retrieval layer, including helping set up data loaders, embeddings, caching, and grounding approaches under the guidance of senior team members.
- Support the development of scalable solution architectures, learning how to design systems that can be efficiently implemented at scale.
- Contribute to preparing, testing, and releasing AI features, working with the team to deploy updates, monitor performance, and understand key indicators such as responsiveness, reliability, and cost.
- Help conduct evaluations and safety checks, including offline and online testing, red-teaming activities, and implementing guardrails to ensure safety, privacy, and compliance.
- Create simple demos and practical enablement materials, such as lightweight UIs, notebooks, clear READMEs, playbooks, templates, and modular components to help colleagues and users get started quickly.
- Assist in preparing and delivering ideation workshops, contributing to prototypes and communicating insights and recommendations in a clear, structured manner.
- Collaborate closely with Data Engineers, Platform Engineers, and Product Managers, working with, and learning from senior AI Scientists or Machine Learning Engineers to grow your technical and professional skills.
Requirements
- University degree in Mathematics, Statistics, Physics, Computer Science, or a related quantitative or technical field, or a comparable qualification. Additional studies in business, management or economics are a plus.
- Enthusiasm about broader business challenges and the ability to translate them into technical solutions.
- Excellent English language, communication, and presentation skills and the ability to clearly communicate technical trade-offs and decisions to non-technical stakeholders.
- Proficient programming skills in Python or R, solid SQL skills, experience with additional languages (e.g. Java) is a plus; software hygiene (version control, testing, code reviews).
- Experience in building backend services or pipelines and integrating ML/LLM components.
- Good knowledge of Retrieval/RAG, agent orchestration, and the field of AI in general.
- Basic understanding of the foundational concepts of machine learning, statistical analysis, and/or mathematical optimization techniques.
- Practical experience in analyzing complex datasets and developing analytical or AI-based models and a keen interest in AI innovation.
- Some first experience in working on strategic or cross-functional initiatives in a corporate environment, e.g. through internships or student work.
- Curiosity, a growth mindset, strong results-orientation and problem-solving abilities combined with a collaborative and positive "can-do" attitude.
- Independent work ethic, proactivity, integrity, and loyalty.
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 remote 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 dynamic, cooperative, and international environment that encourages new insights.