Internship: AI & Data Analytics for Quality Improvement

We are currently looking for a student seeking an internship placement, with the possibility to start as soon as possible. This internship is ideal for a student interested in data analysis, quality improvement, and the use of AI tools in an industrial and high-performance engineering environment.

At Koenigsegg, precision and reliability are essential in everything we do. One important part of our quality work is the handling of Non-Conformity Reports (NCRs), which are used to identify deviations, root causes, and improvement actions in production. Today, the potential of NCR data is limited due to inconsistent data entry, missing information, and non-standardized formats.

In this internship, you will work on improving the quality, structure, and usability of NCR data by applying data quality methods and AI-supported analytics.

You will:

• Assess the current quality of NCR data in terms of completeness, consistency, and accuracy
• Identify common data issues such as duplicates, missing fields, and inconsistent classifications
• Develop methods to clean, standardize, and enrich NCR data
• Apply data analytics and AI tools (for example NLP and pattern recognition) to identify trends and recurring non-conformities
• Create clear and interactive dashboards to visualize NCR statistics and quality trends
• Evaluate how improved data quality and analytics can support better decision-making within quality management

The internship will result in:

• Improved reliability and structure of NCR data
• Increased visibility of quality trends through dashboards and analytics
• A proof of concept demonstrating how AI can support quality and reporting processes

Deliverables:

• Technical report (internship or thesis report)
• Prototype of a data-cleaning and analytics solution
• Final presentation of findings and recommendations

In your cover letter, please describe:

• Why you would like to do your internship in this department
• What you hope to learn and achieve during your time here
• What experience or background you already have within this area

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