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- Tasks: Lead the development of innovative climate and nature risk models.
- Company: Join a pioneering environmental analytics company transforming sustainability solutions.
- Benefits: Enjoy flexible working, competitive bonuses, and a commitment to diversity and inclusion.
- Why this job: Be part of a dynamic team tackling real-world environmental challenges with cutting-edge technology.
- Qualifications: Bachelor's degree in natural sciences or related field; experience in environmental risk modelling required.
- Other info: Open to diverse backgrounds; reach out even if your experience doesn't match perfectly.
The predicted salary is between 43200 - 72000 £ per year.
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Revolutionising environmental risk analytics, one model at a time.
A pioneering environmental analytics company is seeking an exceptional Environmental Risk Modeller to join their dynamic team and drive innovative climate and nature risk solutions. The successful candidate will play a crucial role in developing cutting-edge modelling techniques that help international corporations navigate the complex challenges of environmental sustainability.
This rapidly expanding organisation has already established partnerships with globally recognised brands including Nestlé, Burberry, and Reckitt. Their sophisticated SaaS platform enables businesses to assess and strategically manage environmental risks, supporting their transition to net-zero and more sustainable practices.
The company culture is built on intellectual curiosity, collaborative innovation, and a commitment to evidence-based problem-solving. They value diverse perspectives and welcome individuals who are unintimidated by complexity. Their ethos centres on respecting every team member’s contribution, leaving egos aside, and working collectively towards transformative solutions. Alongside the basic salary, on offer are competitive bonus and pension schemes as well as flexible working arrangements and a genuine commitment to staff diversity and inclusion.
The role demands a senior quantitative modeller who can lead technical model development for climate and nature risk assessment. The ideal candidate will build geospatial data layers, develop innovative risk assessment techniques, and transform complex scientific insights into financially relevant business intelligence.
Requirements:
- As a minimum a Bachelor’s degree in natural sciences, physics, engineering or equivalent and demonstrate relevant post-graduation experience; ideally relevant postdoctoral research experience.
- Have in-depth knowledge of mathematical modelling methods for environmental risk and their applications to real world problems.
- Possess extensive experience with analysis, manipulation and visualisation of climate, environmental, and geospatial datasets (CMIP6, SSP, etc).
- Demonstrate advanced proficiency in scientific programming (Python preferred).
- Exhibit exceptional communication skills for translating complex scientific concepts.
Please note: even if you don’t have exactly the background indicated, do contact us now if this type of job is of interest – we may well have similar opportunities that you would be suited to.
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Lead Environmental Risk Modeller (27314) employer: ECM Selection
Contact Detail:
ECM Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Environmental Risk Modeller (27314)
✨Tip Number 1
Familiarize yourself with the latest advancements in environmental risk modelling and climate analytics. This will not only help you understand the company's innovative approach but also allow you to discuss relevant topics during your interview.
✨Tip Number 2
Network with professionals in the environmental science and modelling community. Attend conferences or webinars where you can meet industry leaders and potentially get insights into ECM's work culture and expectations.
✨Tip Number 3
Prepare to showcase your technical skills, especially in Python and data visualization. Consider working on a personal project that demonstrates your ability to manipulate and analyze geospatial datasets, as this will be crucial for the role.
✨Tip Number 4
Emphasize your collaborative spirit and problem-solving abilities in conversations. Since the company values teamwork and diverse perspectives, sharing examples of how you've successfully worked in teams will resonate well with them.
We think you need these skills to ace Lead Environmental Risk Modeller (27314)
Some tips for your application 🫡
Understand the Company Culture: Familiarize yourself with ECM's values of intellectual curiosity, collaborative innovation, and evidence-based problem-solving. Reflect these values in your application to show that you align with their ethos.
Highlight Relevant Experience: Emphasize your post-graduation experience and any relevant postdoctoral research. Be specific about your expertise in mathematical modelling methods and how you've applied them to real-world environmental problems.
Showcase Technical Skills: Detail your proficiency in scientific programming, particularly in Python, and your experience with climate and geospatial datasets. Provide examples of projects where you've successfully manipulated and visualized data.
Communicate Clearly: Demonstrate your exceptional communication skills by translating complex scientific concepts into understandable terms. This is crucial for the role, so include examples of how you've effectively communicated technical information in the past.
How to prepare for a job interview at ECM Selection
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with mathematical modelling methods and how you've applied them to real-world environmental problems. Highlight specific projects where you developed innovative risk assessment techniques.
✨Demonstrate Data Proficiency
Make sure to talk about your experience with climate, environmental, and geospatial datasets. Discuss any tools or software you've used for analysis, manipulation, and visualization, especially if you have experience with CMIP6 or SSP datasets.
✨Communicate Complex Concepts Clearly
Practice explaining complex scientific ideas in simple terms. The ability to translate intricate concepts into understandable language is crucial, so think of examples where you've successfully done this in the past.
✨Emphasize Collaborative Innovation
Since the company values teamwork and diverse perspectives, be ready to share experiences where you've worked collaboratively on projects. Highlight how you respect and incorporate different viewpoints to achieve transformative solutions.
