We are seeking a highly skilled and motivated Scientific/Statistical Analyst to join our team
In a few months, you could be in a role where we challenge you to support our team in actively research and develop the scientific basis for the quantification of the carbon CO2 emission throughout the supply chain.
You also get to choose when, where, and how you work being supported by a team of experts in data managing and visualization.
About the Role
The ideal candidate will have a strong background in scientific research and statistics, with proficient programming skills in both R and Python.
They will be responsible for conducting continuous research on the impact of CO2 emissions throughout the supply chain, while staying updated with international regulations and scientific targets, such as the Science-Based Targets Initiative (SBTI).
Key Responsibilities:
- Conduct research on the impact of CO2 emissions throughout the supply chain, using statistical analysis to identify trends and patterns.
- Develop and implement models to assess the environmental impact of various processes and activities.
- Stay up to date with international regulations and scientific targets related to CO2 emissions and integrate them into research methodologies.
- Communicate research findings effectively to both technical and non-technical stakeholders through reports, presentations, and other mediums.
About the Team
We're a young team with highly skilled and motivated Scientific background working on climate and nature risk assessment that's always working to find solutions that allow our customer in getting their risk exposure. Our role is creating connection between our insurance industry knowledge and in-depth sustainability expertise.
About You
You've got strong interpersonal skills and communicate well.
You're curious- always asking questions and searching for solutions. New ideas excite you and you're keen explore new experiences. Growth drives you.
Essentials:
- Master's or Ph.D. degree in a relevant field such as environmental science, statistics, or a related discipline.
- Strong background in scientific research methodologies and statistical analysis.
- Proficiency in programming languages such as R and Python for data analysis and visualization.
Nice to Haves:
- Experience with environmental impact assessment and carbon accounting methodologies is preferred.
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
- Strong analytical and problem-solving skills, with a keen attention to detail.
- Ability to work independently and manage multiple projects simultaneously.
About Swiss Re Corporate Solutions
Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer. We anticipate and manage risks, from natural catastrophes and climate change to cybercrime.
Swiss Re Corporate Solutions is the commercial insurance arm of the Swiss Re Group. We offer innovative insurance solutions to large and midsized multinational corporations from our approximately 50 locations worldwide. We help clients mitigate their risk exposure, whilst our industry-leading claims service provides them with additional peace of mind.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. Swiss Re Corporate Solutions embraces 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.
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Keywords:
Reference Code: 129647
How the process will look like
Your teammates will gather all requirements within our organization. Then, once priority has been discussed, you will decide as a team on the best solutions and architecture to meet these needs. In continuous increments and continuous communication between the team and stakeholders, you’re part of making data play an even more important (and understood) part withing Brand New Day.
USD 64K - 106K *
Thank you for submitting your application. We will contact you shortly!