Allianz SE
Intern - Data & AI Innovation(m/w/x)
Full-timeInternshipWith Homeoffice
München
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SWSwiss Re Corporate Solutions
Climate Risk Intern(m/w/x)
München
Full-timeInternshipWith Home Office
Nejo AI Summary
Assessing ROI of adaptation measures and integrating diverse data for client-ready outputs at a commercial insurer. M.Sc./Ph.D. in technical field with strong physical climate risk understanding required. Work with AI tools like AI Report Builder.
Requirements
- M.Sc. or Ph.D. in civil engineering, natural sciences, computational sciences, or related technical field
- Strong understanding of physical climate risks, resilience strategies, and adaptation planning
- Knowledge of regulatory frameworks related to physical climate risk (asset)
- Excellent quantitative and analytical skills
- Experience with AI tools like AI Report Builder
- Structured, self-driven, and solution-oriented working style
- Strong communication skills
Tasks
- Support research and analysis of adaptation measures
- Assess ROI of adaptation measures
- Assess risk mitigation impacts
- Enhance the climate risk reporting framework
- Integrate diverse data sources into client-ready outputs
- Leverage AI solutions for reporting outputs
- Collaborate with cross-functional teams
- Refine methodologies
- Improve existing solutions
- Engage with clients
- Gather client feedback
- Validate concepts with clients
- Support product-market fit
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AI Report Builder
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Swiss Re Corporate Solutions and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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SWSwiss Re Corporate Solutions
Climate Risk Intern(m/w/x)
München
Full-timeInternshipWith Home Office
Nejo AI Summary
Assessing ROI of adaptation measures and integrating diverse data for client-ready outputs at a commercial insurer. M.Sc./Ph.D. in technical field with strong physical climate risk understanding required. Work with AI tools like AI Report Builder.
Requirements
- M.Sc. or Ph.D. in civil engineering, natural sciences, computational sciences, or related technical field
- Strong understanding of physical climate risks, resilience strategies, and adaptation planning
- Knowledge of regulatory frameworks related to physical climate risk (asset)
- Excellent quantitative and analytical skills
- Experience with AI tools like AI Report Builder
- Structured, self-driven, and solution-oriented working style
- Strong communication skills
Tasks
- Support research and analysis of adaptation measures
- Assess ROI of adaptation measures
- Assess risk mitigation impacts
- Enhance the climate risk reporting framework
- Integrate diverse data sources into client-ready outputs
- Leverage AI solutions for reporting outputs
- Collaborate with cross-functional teams
- Refine methodologies
- Improve existing solutions
- Engage with clients
- Gather client feedback
- Validate concepts with clients
- Support product-market fit
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AI Report Builder
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Swiss Re Corporate Solutions and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Swiss Re Corporate Solutions
Industry
Insurance
Description
Das Unternehmen ist einer der weltweit führenden Anbieter von Rückversicherung, Versicherung und anderen versicherungsbasierten Formen des Risikotransfers.
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