Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Enhance climate risk models and develop analytical tools using AI and large datasets.
- Company: Leading climate solutions provider in the UK focused on innovative climate analytics.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a mission-driven team tackling climate challenges with cutting-edge technology.
- Qualifications: Advanced degree in atmospheric sciences and experience in climate data analysis.
- Other info: Fast-paced environment with collaborative work across time zones.
The predicted salary is between 30000 - 50000 £ per year.
A leading climate solutions provider in the UK is looking for a Climate Data Scientist to enhance climate and nature risk models and develop analytical tools. The role requires an advanced degree in atmospheric sciences or related fields, along with substantial experience in climate data analysis and model development.
The candidate should be adept at leveraging large datasets and AI/ML techniques for creating innovative solutions. Excellent communication skills and the ability to work collaboratively across time zones are essential. This fast-paced opportunity offers a chance to work at the forefront of climate risk analytics.
Climate Data Scientist — AI-Driven Climate Risk Modeling in London employer: ISS
Contact Detail:
ISS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Climate Data Scientist — AI-Driven Climate Risk Modeling in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the climate data field on LinkedIn or at industry events. A friendly chat can open doors and give you insights that job postings just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your climate data projects, especially those using AI/ML techniques. This will not only impress potential employers but also demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex climate models in simple terms, as you'll need to collaborate with diverse teams across time zones.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our mission in climate risk analytics.
We think you need these skills to ace Climate Data Scientist — AI-Driven Climate Risk Modeling in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in climate data analysis and model development. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
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 a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: Since we’re looking for someone who can leverage AI/ML techniques, make sure to mention any relevant tools or programming languages you’re proficient in. We love seeing candidates who are tech-savvy and innovative!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our mission!
How to prepare for a job interview at ISS
✨Know Your Climate Data Inside Out
Make sure you brush up on your knowledge of climate data analysis and model development. Be prepared to discuss specific datasets you've worked with and how you've applied AI/ML techniques to solve real-world problems. This will show your expertise and passion for the field.
✨Showcase Your Communication Skills
Since excellent communication is key, practice explaining complex concepts in simple terms. You might be asked to present your previous work or ideas, so think about how you can convey your thoughts clearly and effectively, especially when collaborating across time zones.
✨Prepare for Technical Questions
Expect some technical questions related to climate risk modelling and data analytics. Brush up on relevant algorithms and tools you’ve used. Being able to articulate your thought process and decision-making will demonstrate your analytical skills and problem-solving abilities.
✨Research the Company’s Impact
Familiarise yourself with the company’s projects and their impact on climate solutions. Showing that you understand their mission and how your role as a Climate Data Scientist fits into their goals will set you apart from other candidates. It shows genuine interest and alignment with their values.
