2025-08-03
DHL (https://group.dhl.com/en.html)
Other
/yr
full-time
employee
Maastricht
Netherlands
What makes DHL great? Our People! We know each employee’s individual contributions make us the #1 Express Delivery and Logistics Company in the world.
Distinguished as No.1 World’s Best Workplace™ by Great Place to Work and Fortune MagazineDHL Express is committed to maintaining an environment that empowers every team member to make the greatest possible impact on our business. Our corporate culture is about personal commitment – to our business, to each other and to our global communities. DHL is dedicated to being a great place to work.Start YOUR career with DHL today…
Role Purpose
We're looking for a motivated Junior Data Scientist who contributes to data science projects focused on the delivery of tangible business value from data, understands data in the context of the business process, and contributes to proving value before submitting for implementation.
The role will be based in Bonn, Germany, or Maastricht, Netherlands.
- Support the execution of data analytics projects in collaboration with the supervisor/project lead.
- Involvement in the analysis of the business processes as well as the derivation of problem areas and analytical requirements.
- Identification and collection of required data, as well as data cleansing.
- Develop and implement prototypes for the business users.
- Support the anchoring of data-driven decisions in operating business through the building up of specialist methodical knowledge and knowledge transfer from successfully completed projects.
- Derive analytical requirements, select, and execute appropriate mathematical methods, and interpret the results with guidance from the supervisor.
- Manage contact with internal and external customers on data analytics topics at the work and specialist level with limited guidance from the project lead.
- Relationship management with internal and external expert networks in the data analytics field.
- University degree in Mathematics, Statistics, Physics, Computer Science, or related natural sciences / technical degree, or comparable qualification.
- Deep knowledge of machine learning, statistics, and/or mathematical optimization.
- Being familiar with analyzing complex datasets and building mathematical models (theoretical or practical).
- Having programming skills or experience in scripting languages (Python, R, or Java).
- Ability to produce creative analytical solutions based on clear and thorough analyses of complex processes and business relationships.
- Comfortable explaining complex analytical and technical content to various audiences.
- Strong team player, energetic, and success-oriented problem solver.
- Independent work ethic, integrity, and loyalty, positive “can-do” attitude.
Please submit your application along with your CV and a copy of your highest educational degree (e.g., Bachelor’s, Master’s, or MBA certificate).
