Student Assistant (Early Careers)-Data and Analytics

We are looking for a curious, motivated Student Assistant to join our Asset Strategy Platforms team. You will work directly with data analysts and platform teams on real analytical problems — cleaning and preparing data, building dashboards, and supporting AI/ML experiments. This is a hands-on role in a large-scale logistics data environment where your output feeds actual business decisions.

Key Responsibilities

• Prepare, clean, and validate data to support analysis and AI/ML experiments.

• Build and maintain Power BI dashboards tracking platform performance and adoption metrics.

• Support ad-hoc analysis — translating business questions into structured tasks and communicating findings clearly.

• Help design and run experiments exploring AI/ML approaches to improve platform products.

• Document processes, findings, and methodologies to support team knowledge sharing.

• Work with large-scale datasets across logistics, operations, and supply chain domains.

• Use AI tools (e.g., Copilot for code completion, Claude documentation drafting) to accelerate tasks — and validate their outputs critically, not at face value.

What We Are Looking For

Currently enrolled in a Bachelor's or Master’s programme in Data Science, Business Analytics, Computer Science, or a related quantitative field (Statistics, Mathematics, Engineering, Economics) at a danish university and available to work upto 20 hours per week

• Mindset: You are curious, self-directed, and comfortable with ambiguity. You ask good questions and do not wait to be told what to do next.

• Technical Skills: Hands-on experience with Python or SQL. Exposure to Power BI, Azure, or Databricks/Jupyter is a plus. Familiarity with AI coding tools (e.g., Copilot) and LLM-based analysis is valued — as is the judgement to know when to trust their output.

• Communication: You can explain findings clearly to analysts and non-technical colleagues alike. Insight without communication has limited value.

• Collaboration: Responsive, reliable, and open to feedback. You treat AI-generated outputs with healthy scepticism and know how to validate results.

Why Join Us

• Work on real data challenges in a company that moves 20% of world trade.

• Hands-on experience with modern data and AI/ML tools in a production environment.

• Mentorship from experienced data analysts and platform product professionals.

• Direct, visible impact on how Maersk manages its asset strategy

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.