Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Enhance climate risk models and develop innovative analytical tools.
- Company: Leading climate solutions provider in Greater London.
- Benefits: Opportunity to make a significant impact on climate-related strategies.
- Why this job: Join a fast-paced team and tackle real-world climate challenges.
- Qualifications: Advanced degree in atmospheric or physical sciences; AI/ML experience required.
- Other info: Collaborate with global teams in a dynamic work environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading climate solutions provider in Greater London is seeking a climate data scientist to enhance climate risk models and develop new analytical tools. This fast-paced position requires expertise in climate impacts, data-driven model development, and collaboration with global teams.
The ideal candidate will have an advanced degree in atmospheric or physical sciences and experience in AI/ML. Strong communication and problem-solving skills are essential. This role offers the opportunity to make a significant impact on climate-related investment strategies.
Climate Risk Data Scientist — AI & Geospatial Analytics in London employer: ISS Sustainability Solutions
Contact Detail:
ISS Sustainability Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Climate Risk Data Scientist — AI & Geospatial Analytics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the climate science and data analytics fields. Use platforms like LinkedIn to connect with people who work at companies you're interested in, and don't be shy about asking for informational interviews.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to climate risk models and AI/ML. This can be a game-changer during interviews, as it gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Research common questions for climate data scientist roles and practice your responses. Be ready to discuss your experience with data-driven model development and how you've tackled complex problems in the past.
✨Tip Number 4
Apply through our website! We often have exclusive job listings that might not be found elsewhere. Plus, applying directly shows your enthusiasm for the role and helps us get to know you better right from the start.
We think you need these skills to ace Climate Risk Data Scientist — AI & Geospatial Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your expertise in climate impacts and data-driven model development. We want to see how your skills align with the role, so don’t be shy about showcasing your experience in AI/ML!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about climate solutions and how your background makes you the perfect fit for our team. Let us know what excites you about this role!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We love seeing candidates who can think critically and come up with innovative solutions, especially in fast-paced environments.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at ISS Sustainability Solutions
✨Know Your Climate Science
Make sure you brush up on the latest trends and research in climate science. Be prepared to discuss how your expertise in atmospheric or physical sciences can enhance climate risk models. This shows that you're not just knowledgeable but also passionate about the field.
✨Showcase Your AI/ML Skills
Since this role requires experience in AI and machine learning, be ready to share specific examples of projects where you've applied these skills. Discuss the tools and techniques you used, and how they contributed to data-driven model development.
✨Collaboration is Key
This position involves working with global teams, so highlight your teamwork experiences. Share stories that demonstrate your ability to communicate effectively and solve problems collaboratively, especially in fast-paced environments.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think of past challenges you've encountered in your work and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
