GENERAL INFORMATION

Location:
Bonn, Germany
Job Seniority:
Professionals
Job Type:
Non Consulting
Working time:
Full-time
Type of contract
Permanent
Travel extent
None

Description and Requirements

Associate Data Scientist AI (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 Data Scientist AI (d/f/m) and become part of our extraordinary 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’s focused on service, quality, and sustainability, is able to 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!  

We are looking for best-in-class graduates who are eager to turn their academic foundation in AI, data science, or related fields into real‑world impact. In this role, you will work closely with business stakeholders to understand their needs and help develop AI‑driven solutions for complex business challenges. 

This position is ideal for curious, proactive problem solvers who enjoy exploring and working with new techniques, are excited to learn how modern AI technologies can support decision‑making and improve performance. 

What you will do:  


  • Work closely with business stakeholders to understand their processes and challenges, and to translate them into analytical approaches or derive ideas on how data & AI can help. 
  • Collect, understand, and analyze the existing data landscape as pre-requisite for the AI application in close interaction with the business experts and under the guidance of senior team members, i.e. context engineering. 
  • 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. 
  • Create simple demos, prototypes and practical enablement materials, such as lightweight UIs, playbooks, and templates to help colleagues and users get started quickly. 
  • Assist in preparing and delivering workshops, 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.

What you bring:   


  • 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, 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.    

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 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. 


 



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.