Provinzial Greinert #lorettoviertel
Provinzial Greinert #lorettoviertel
1 – 10 कर्मचारी
B2Cबीमावित्त
Provinzial Greinert #lorettoviertel एक क्षेत्रीय जर्मन बीमा एजेंसी और Provinzial समूह की शाखा है, जो निजी ग्राहकों को घरों, इमारतों, घरेलू सामान, देयता, वाहनों, यात्रा, स्वास्थ्य संबंधी आवश्यकताओं, जीवन बीमा और सेवानिवृत्ति योजना के लिए कवरेज प्रदान करती है। इसकी सेवाओं में व्यक्तिगत, स्थानीय सलाह और दावों में सहायता के साथ-साथ डिजिटल ग्राहक उपकरण, रोकथाम संबंधी संसाधन तथा पॉलिसी प्रशासन और दावों के निपटारे के दौरान सहायता शामिल है।

Working Student AI & Data Analytics in Commercial Insurance

As a working student at Provinzial, you will develop AI-enabled assistance functions for commercial liability underwriting. Your work will cover risk analysis, prompt optimization, and quality assurance across business, IT, and data teams.

विवरण

  • Identify practical AI opportunities with underwriters, including text and document analysis, information processing, and risk-data structuring
  • Help design, test, and improve AI-powered assistance features from business-requirement definition through operational use
  • Convert underwriting needs into clear, actionable specifications for IT, data, and AI teams
  • Create and refine prompts and AI use cases for commercial insurance and liability operations
  • Check AI-generated outputs for functional quality, plausibility, completeness, and usefulness in underwriting
  • Help the business unit adopt AI through examples, prompt templates, knowledge-sharing sessions, and short workshops

आवश्यकताएँ

  • Currently pursuing a degree in Business Information Systems, Data Science, Computer Science, Mathematics, Business Administration, Law, or a comparable discipline
  • Strong interest in applying artificial intelligence to insurance operations
  • Basic familiarity with modern AI applications such as large language models, AI assistants, or retrieval-augmented generation, or a clear willingness to learn
  • Able to explain complex business and technical topics clearly to different audiences
  • Analytical, independent, and careful when working with data and information
  • Approachable, curious, and comfortable collaborating with business, IT, data, and AI colleagues
  • Prior exposure to generative AI, prompt engineering, data or process analysis, or insurance is helpful but not essential
  • Open to digital technologies and responsible AI use, with the motivation to contribute to change and keep developing your methods and knowledge

लाभ

  • Flexible working hours designed to support work-life balance
  • Reliable time tracking
  • Complimentary lunch and access to a coffee lounge
  • Home-office opportunities
  • An innovative health-management program
  • Support for bachelor's and master's thesis projects
  • Hands-on exposure to commercial insurance underwriting, especially commercial liability
  • The chance to help take AI solutions from initial concept into everyday operations
  • Direct collaboration with specialists in underwriting, data, IT, and the internal AI team
  • Room to contribute ideas, test solutions in practice, and build AI expertise within the business unit

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