HELP US MAKE THE WORLD GO ROUND!

TOGETHER WE CREATE A CHAIN OF PROFESSIONALS - BECOME OUR LINK!

About Company:

As DHL, we are a world leader in supply chain management and support our customers in developing their business. DHL employs almost 600 000 people. It works in more than 220 countries and regions around the world, connecting people and businesses safely and reliably, enabling a global trade flow. Our employees daily deal with the delivery of the best logistics solutions and service the largest warehouses in Poland and around the world for various industries (including e-commerce, technology, life sciences and healthcare, energy, automotive and retail).

We know how important it is to implement in our organization. From the very beginning, we will provide you with the necessary training, because human capital is DHL's largest investment. We have an internal training platform where each of our employees creates their individual plans and development paths.

We work based on mutual respect, and we expect you to be open to new challenges that we have plenty of!

Your role:

Through a meticulously designed 24-month structured development program, you will be responsible for delivering data analytics projects and translating insights into actionable business decisions. Working closely with project leads, you’ll analyze business processes, identify data needs, build statistical or machine learning models, and develop prototypes for business users. Along the way, you will also support knowledge transfer from completed projects and help uncover new opportunities for data-driven innovation.

What will we do together?

• Support the definition of project contents, deliverables and timelines of data analytics projects.
• Derive analytical requirements, select and execute appropriate mathematical methods and interpret the results in consultation with the project lead.
• Identify, validate and exploit internal and external data sets to support respective projects.
• Apply mathematics, statistics, predictive modelling and machine learning techniques to develop and build predictive models for (real-time) decision making and to optimize processes.
• Jointly deploy models into production with data/software engineer.
• Liaise with other experts cross-functionally to share best practices.
  

Who are we looking for?

We are looking for passionate individuals who show initiative and are eager to explore new paths for growth. Be sure to apply if you possess the following qualifications and competencies:

• Bachelor’s degree completed or currently in the final year of a long-cycle Master’s program.
• Knowledge of analyzing complex datasets and building mathematical models (academic or practical), along with basic skills in at least one programming or scripting language (e.g., Python, R, or Java).
• Basic knowledge of SQL, or a strong willingness to learn if not yet experienced.
• Willingness to travel for business (2–3 days per month).
• Ability to produce creative analytical solutions based on clear and thorough analyses of complex processes and business relationships.
• Independent work ethic, integrity and loyalty, positive “can-do”- attitude.
• Familiarity with Microsoft Azure – nice to have.
• English language – advanced.
  

What we offer?

• Real development opportunities - over 70% of recruitment processes are selected from internal candidates,
• Medical Care,
• Co-financing for holidays,
• Christmas vouchers,
• Co-financing for sports cards (Multisport),
• Possibility to join group insurance on preferential term
  

What happens after sending a CV with your application?

Please notice, that despite the fact that we review all submitted application, due to the large number of CVs we receive, we can only respond to the selected candidates. Therefore, if you do not receive a message our within the next 14 business days, it will mean that the recruitment process has been unsuccessful. If your CV is qualified to the next stage, our Recruitment Specialist will contact you by phone to present you the details of the job and talk about your experience and your expectations. Depending on the recruitment process, you may be invited to a meeting at our branch. You will be informed about the recruitment result decision by e-mail or telephone.