Audit & Investigation Student Assistant – AI-Driven Analytics

A.P. Moller - Maersk; København; On-site; DKK 134,000 - 201,000; Part time

Job summary

A.P. Møller – Maersk invites you to join the Digital Excellence team within Audits & Investigation in Copenhagen for a part-time internship.

You will help embed AI-enabled workflows, prototype capabilities, and support digitization of processes while gaining hands-on business experience in a global shipping group. You will work around 20 hours per week, focusing on analytics, data storytelling, and insights that strengthen governance and controls across the function.

Qualifications

• Master's in Business Analytics or equivalent with Danish university study track.
• Proficient with AI tools to design and implement AI-augmented workflows.
• Comfortable with data tools Power BI, Excel, and exposure to SQL, Python or R.
• Interest in how data, risk, and governance intersect in a global business environment.
• Analytical, structured, and detail-oriented with the ability to learn quickly.

Responsibilities

• Prototype AI capabilities to increase efficiency within A&I ways of working.
• Post prototyping, implement AI-enabled workflows based on feedback.
• Support digitization and automation of workflows within A&I.
• Transform raw data into actionable insights through structured analysis and visual storytelling.
• Participate in audit/investigation engagements, especially those involving automation, analytics, or reporting.
• Provide administrative and ad-hoc support to the A&I team as needed.

Skills

Analytical thinking

Structured approach

Attention to detail

Can-do attitude

Intellectual curiosity

Fast learning

Relationship building

Thrives in fast-paced environment

Education

Master's in Business Analytics

Bachelor's in Finance or Economics

Tools

Power BI

Excel

SQL

Python

R

Job description

A.P. Møller – Maersk invites you to join the Digital Excellence team within Audits & Investigation in Copenhagen for a part-time internship.

You will help embed AI-enabled workflows, prototype capabilities, and support digitization of processes while gaining hands-on business experience in a global shipping group. You will work around 20 hours per week, focusing on analytics, data storytelling, and insights that strengthen governance and controls across the function.