Student Worker – Data & Digital Analytics

Are you passionate about using AI and digital solutions to solve real business challenges and create tangible value?

As a student worker, you will work closely with the business to identify, develop and validate AI-supported solutions to real operational challenges. You will have the opportunity to combine your interest in AI and technology with a strong understanding of business processes — turning ideas into practical solutions that create measurable value.

Your tasks will cover:

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  Analyze technical drawings, order data, product categorization and supplier segmentation rules in cooperation with engineering and business experts

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  Prepare, clean, structure and label datasets for e.g. machine learning

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  Explore and evaluate suitable approaches, including computer vision, OCR, multimodal models, metadata-bassed classification, and rule-based methods.

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  Develop and test a proof of concept for automatically recommending the appropriate product category and supplier segment for an order (matchmaking).

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  Define evaluation criteria and measure model performance using agreed metrics, including classification accuracy, coverage, confidence, and error types

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  Validate results with eingineering, procurement and other business stakeholders

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  Document assumptions, data limitation, model performance, and recommendationsf or futher development and/or deployment

Support the exploration of additional AI and analytics use cases, such as supplier-capacity utilization, dispensation process, claims process, ECR process etc.

You will be part of a team that is strengthening its digital capabilities by exploring how AI can solve real business challenges and create tangible value. Working closely with colleagues across the department, you will combine your interest in AI and technology with your understanding of business processes to develop practical solutions.

We are looking for a curious and proactive student who is passionate about AI and eager to apply it in a real business environment. You will work at the intersection of technology and business, turning opportunities into solutions that improve efficiency, data quality and decision-making. As well as developing our first AI use case, you will have the opportunity to explore new opportunities and help shape how we use AI across the department.

• Currently studying Mechanical Engineering, Software Engineering, Computer Science or related field with a strong interest in applying technology to real business challenges

• Familiarity with Python, data analysis, and machine learning concepts

• Interest in computer vision, technical documentation understanding, OCR and multimodel AI

• Structured and critical approach to data quality, testing and validation

• Curious and analytical mindset, with the ability to understand complex problems, analyze data and turn business needs into practical digital solutions

• Strong communication and collaboration skills, with the ability to work closely with business colleagues, understand their needs and translate technical possibilities into tangible business value.

• Experience with technical drawings, CAD Data etc is an advantage.

• Microsoft Power Apps/Power Automate – experience building simple business applications and automating workflows

• Python – experience with data analysis, automation

• Danish is not mandatory. Fluent in English both written and oral is a must.

Applications are reviewed on an ongoing basis. However, please note we do amend or withdraw our jobs and reserve the right to do so at any time, including prior to any advertised closing date. So, if you're interested in this role we encourage you to apply as soon as possible.

Here is what you can expect: