Working Student – AI & Data Analytics

Provinzial Greinert #lorettoviertel

. Together with underwriters, you will identify valuable AI use cases, such as text and document analysis, information processing, and the structuring of risk data .

Posted 10/5/2026part-timeMünster • GermanyEntry LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates a strong understanding of AI applications in the insurance industry, with the ability to translate complex underwriting requirements into actionable insights for IT and data teams. Proficient in prompt engineering and data analysis, while effectively collaborating with cross-functional teams to enhance AI-driven processes.

Highest-signal resume keywords

AI ApplicationsPrompt EngineeringData AnalysisBusiness Requirements DefinitionCollaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceComputer ScienceMathematicsBusiness Information SystemsGenerative AILarge Language ModelsInformation ProcessingDocument AnalysisRisk Data StructuringQuality Assurance

Soft Skills

Analytical ThinkingIndependent WorkClear CommunicationApproachabilityCollaboration

Tools & Technologies

AI AssistantsDigital Technologies

Industry Keywords

Insurance IndustryUnderwritingBusiness AdministrationKnowledge SharingWorkshops

About the role

Key responsibilities & impact

Together with underwriters, you will identify valuable AI use cases, such as text and document analysis, information processing, and the structuring of risk data
You will contribute to the design, testing, and further development of AI-powered assistance features—from defining business requirements to testing them in day-to-day operations
You will translate underwriting requirements into clear, actionable descriptions for IT, data, and AI teams
You will develop and optimize prompts and use cases for commercial insurance and liability business
You will support the functional quality assurance of AI-generated results and evaluate them, particularly with regard to plausibility, completeness, and value for the underwriting process
You will support the business unit in applying AI, for example through practical examples, prompt templates, knowledge-sharing sessions, or short workshops

Requirements

What you’ll need

You are currently enrolled in a degree program such as Business Information Systems, Data Science, Computer Science, Mathematics, Business Administration, Law, or a comparable field
You are interested in the practical application of artificial intelligence in the insurance industry
You have a basic understanding of modern AI applications, such as Large Language Models, AI assistants, or RAG—or are eager to develop your knowledge in these areas
You can structure and present complex business and technical concepts clearly and appropriately for different audiences
You work analytically, independently, and carefully with data and information
You are approachable, ask targeted questions, and enjoy collaborating with colleagues from business units, IT, data, and AI teams
Initial experience with generative AI, prompt engineering, data or process analysis, or the insurance industry is welcome but not required
You are open-minded and use digital technologies and AI applications thoughtfully and responsibly. You are willing to actively help shape change and continuously develop your working methods and knowledge

Benefits

Comp & perks

Flexible working hours and a strong work-life balance
Time tracking
Free lunch and a coffee lounge
Home office options
Innovative health management program
Support for bachelor's and master's theses
Practical insight into commercial insurance underwriting, with a focus on commercial liability
The opportunity to actively shape AI solutions from initial concept through implementation in day-to-day operations
Close collaboration with experts in underwriting, data, IT, and the internal AI department
Scope for your own ideas, practical testing, and building AI expertise within the business unit