At a Glance
- Tasks: Join a team to model severe weather events and improve climate risk indicators.
- Company: Work with a cutting-edge climate intelligence company focused on extreme weather tools.
- Benefits: Enjoy a flexible hybrid work setup and contribute to impactful climate solutions.
- Other info: Contract role outside IR35, ideal for those passionate about climate change.
- Why this job: Shape real-world decisions while collaborating with experts in a dynamic environment.
- Qualifications: 3+ years in climate science, proficiency in Python, and strong communication skills required.
The predicted salary is between 48000 - 72000 £ per year.
Location: London Area, United Kingdom (Hybrid / Remote )
Contract Type: Outside IR35
Initial Duration: 3-4 Months
Start Date: ASAP
- Short-term consultancy opportunity with a high-impact climate intelligence company
- Hands-on modelling and research on severe weather events and their implications
- Join a multidisciplinary science and technology team working on next-gen climate tools
- Outside IR35 - flexible hybrid/on-site setup
To apply, contact
We are working on behalf of a cutting-edge organisation that develops tools to assess the consequences of extreme weather linked to climate change. The team merges environmental science, data, and modelling into commercial decision-making.
This is a project-based position for an experienced climate scientist with a specialisation in storm system analysis, such as tropical cyclones, extra-tropical systems, and storm surge. You\'ll be joining a science unit that\'s refining hazard models, interpreting climate signals, and contributing to a growing library of actionable insights. Your scientific expertise will shape real-world decisions and product offerings.
- Improve and calibrate internal models simulating intense storm systems
- Translate atmospheric data and climate projections into practical hazard risk indicators
- Work with earth system scientists, risk analysts, and geospatial experts on data integration
- Run model evaluations and contribute to quality assurance of simulation outputs
- Support explanation of model assumptions and findings to wider business and client teams
- Use programming tools (primarily Python) in remote/cloud environments for analysis
- Stay current with peer-reviewed research and bring scientific rigour to project outputs
- At least 3 years\' experience applying scientific research on extreme weather systems, either in industry or academia
- Experience building or improving models for tropical cyclones, storm surge, or related hazards
- Proficiency using Python for analysis in cloud-based or remote workflows
- Skilled communicator able to explain technical results to non-specialists
- Comfortable working at the interface of science and product development
- PhD (or equivalent research experience) in climate science, atmospheric modelling, or a related field (preferred)
- Catastrophe model frameworks for wind or flood perils
- Bayesian statistics, probabilistic modelling, or extreme value theory
- Prior work on translating scientific climate data into decision-useful formats
Storm Modelling, Climate Hazards, Tropical Cyclones, Python, Climate Risk, Physical Risk Analysis, Atmospheric Science, Remote Modelling, Scientific Communication, Risk Mapping, Cloud Computing
TO APPLY
Email your CV and brief note of interest to
All applications will be treated in confidence and submitted only with your express permission.
Climate Scientist in Northampton employer: Searchability
Join a pioneering climate intelligence company that is at the forefront of developing innovative tools to tackle the challenges posed by extreme weather events. With a flexible hybrid working model, a collaborative and multidisciplinary team environment, and a strong commitment to employee growth, this role offers you the chance to make a tangible impact on climate resilience while advancing your career in a supportive setting.
StudySmarter Expert Advice🤫
We think this is how you could land Climate Scientist in Northampton
✨Tip Number 1
Network with professionals in the climate science field, especially those who specialise in storm modelling. Attend relevant conferences or webinars to meet potential colleagues and learn about the latest trends in climate research.
✨Tip Number 2
Familiarise yourself with the specific modelling tools and programming languages mentioned in the job description, particularly Python. Consider taking online courses or tutorials that focus on using Python for climate data analysis to enhance your skills.
✨Tip Number 3
Stay updated on recent peer-reviewed research related to storm systems and climate hazards. Being able to discuss current findings and their implications during interviews can demonstrate your commitment and expertise in the field.
✨Tip Number 4
Prepare to explain complex scientific concepts in simple terms. Practice articulating your past projects and findings in a way that non-specialists can understand, as effective communication is key in this role.
We think you need these skills to ace Climate Scientist in Northampton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in climate science, particularly in storm modelling and atmospheric data analysis. Emphasise any specific projects or roles that align with the job description.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for climate science and your expertise in storm systems. Mention how your skills in Python and scientific communication can contribute to the company's goals.
Highlight Relevant Skills:In your application, clearly outline your proficiency in Python and any experience with cloud-based workflows. Include examples of how you've applied these skills in previous roles or projects.
Showcase Your Research Experience:If you have a PhD or equivalent research experience, make sure to detail your research on extreme weather systems. Discuss any publications or presentations that demonstrate your expertise in the field.
How to prepare for a job interview at Searchability
✨Showcase Your Technical Skills
Make sure to highlight your experience with storm modelling and Python programming during the interview. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your hands-on expertise.
✨Communicate Complex Ideas Simply
Since the role involves explaining technical results to non-specialists, practice articulating your research and findings in a clear and concise manner. Use analogies or simple terms to make complex concepts more accessible.
✨Demonstrate Collaborative Spirit
This position requires working with a multidisciplinary team. Share examples of how you've successfully collaborated with other scientists or professionals in the past, emphasising your ability to integrate diverse perspectives into your work.
✨Stay Current with Research
Familiarise yourself with the latest peer-reviewed studies related to climate science and storm systems. Being able to reference recent findings during your interview will show your commitment to staying informed and your passion for the field.
