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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

20Open Positions

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Climate Risk Intern

Swiss Re
Found 1 month ago
Location
Munich, Germany
Duration (Months)
6 Months
Time
Not disclosed
Work Mode
Hybrid
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • Python
  • AI tools
  • AI Report Builder

Soft Skills

  • analytical skills
  • Structured
  • self-driven
  • solution-oriented
  • communication skills

Job Description

As a Climate Risk Intern, you will contribute to the development of adaptation and resilience solutions across multiple hazards and geographies. You will support both methodological advancement and client-facing activities, gaining exposure to product development and applied risk analytics. Key responsibilities include: * Supporting research and analysis of adaptation measures, including assessment of ROI and risk mitigation impacts * Contributing to the enhancement of our climate risk reporting framework by integrating diverse data sources into client-ready outputs leveraging AI solutions * Collaborating with cross-functional teams to refine methodologies and improve existing solutions * Engaging with clients to gather feedback, validate concepts and support product–market fit This role offers hands-on experience in a collaborative, international environment and exposure to cutting-edge climate risk analytics.

Requirements

  • M.Sc. or Ph.D. in civil engineering, natural sciences, computational sciences, or a related technical field
  • Strong understanding of physical climate risks, resilience strategies and adaptation planning
  • Knowledge of regulatory frameworks related to physical climate risk is an asset
  • Excellent quantitative and analytical skills (Python proficiency)
  • Experience with AI tools such as AI Report Builder
  • Structured, self-driven and solution-oriented working style
  • Strong communication skills and fluency in English

Related Field

  • AI & Machine Learning

Related Subfield

  • AI Research

Languages

  • English

Nice to Haves

  • Knowledge of regulatory frameworks related to physical climate risk is an asset
▶Apply Now

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