Climate & Sustainability Analytics Intern (m/f/x/d, 3 months), Zurich (Zurich, CH)

Ready to shape the future of risk assessment? Join Swiss Re's Risk Data Solution unit in Zurich where you'll collaborate with leading experts across data, product, and technology-driving innovation that matters. If you thrive in a fast-paced, global environment and want to contribute to solutions addressing some of the world's most pressing challenges, this opportunity is for you!

As a Product Intern, you'll be immersed in a vibrant, multicultural team serving clients worldwide. Working alongside industry experts, you'll gain invaluable experience at the intersection of environmental science, risk assessment, and product development.

Key Responsibilities:

• Support data validation processes to ensure quality, scientific consistency, and integrity across our platform
  
• Create client-friendly materials that clearly communicate geographic coverage of various hazards
  
• Explore and develop feasibility assessments for heatwave exposure mapping and related analytics
  
• Collaborate with senior team members and cross-functional teams to improve existing methodologies
  
• Contribute to the development of nature-related and forward-looking risk layers, particularly water-related risks
  
• Assist in economic quantification of nature risk and materiality assessments
  

The internship will be

The Product Team within Swiss Re's Risk Data Solutions (RDS) division plays a pivotal role in shaping, delivering, and evolving data-driven solutions that empower clients to navigate complex risk landscapes. The team is structured around a unified vision, with problem solvers driven by passion, powered by knowledge: to be the leading provider of trusted risk insights, data, and analytics. Our purpose is to make today's and tomorrow's complex risks more accessible and lead Swiss Re's innovation and sustainability ambitions.

You're an analytical thinker with an eye for detail and excellent interpersonal skills. Your adaptability and intellectual curiosity enable you to quickly grasp new concepts and contribute meaningfully in a dynamic environment.

We are looking for candidates who meet these requirements:

• Currently pursuing a Master's degree in Environmental Science, Geoscience, Climate Science, or related field
  
• Strong quantitative, analytical, and problem-solving abilities
  
• Excellent organizational skills with a self-motivated approach to work
  
• Fluent written and spoken English
  

These are additional nice to haves:

• Knowledge of climate science or interest in geosciences
  
• Experience with climate risk models, geospatial data, or environmental datasets
  
• Additional language skills beyond English
  
• Experience working in diverse, international teams
  
• Familiarity with data visualization techniques
  

We look forward to receiving your application!

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

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