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- Tasks: Design climate analysis tasks for AI systems and ensure scientific precision.
- Company: Environmental research organisation focused on impactful climate solutions.
- Benefits: Remote work flexibility, collaborative team environment, and opportunities for professional growth.
- Why this job: Make a real difference in climate science while working with cutting-edge AI technology.
- Qualifications: PhD in climate or related field and strong analytical reasoning skills.
- Other info: Join a passionate remote team dedicated to tackling climate challenges.
The predicted salary is between 36000 - 60000 £ per year.
An environmental research organization is seeking a candidate to design high-quality climate analysis tasks for AI systems. The ideal applicant will have a PhD in climate or a related field, exhibit professional research experience, and possess strong analytical reasoning skills. The role requires collaboration with a remote team.
Responsibilities include:
- Data discovery
- Workflow crafting
- Ensuring scientific precision in projects
If you're passionate about climate science and data analysis, this opportunity is for you.
Remote Climate Data Scientist for AI Evaluation in London employer: Crossing Hurdles
Contact Detail:
Crossing Hurdles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Climate Data Scientist for AI Evaluation in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the climate science field on LinkedIn or at conferences. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous climate analysis projects. This will give potential employers a taste of what you can bring to the table, and we all know actions speak louder than words!
✨Tip Number 3
Prepare for virtual interviews! Since this role is remote, practice your video call skills. Make sure your tech is sorted, and have a quiet space ready to go. We want you to shine when it’s time to chat with the team!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing passionate candidates who are eager to join our mission in climate science and AI evaluation.
We think you need these skills to ace Remote Climate Data Scientist for AI Evaluation in London
Some tips for your application 🫡
Show Off Your Passion: When writing your application, let your enthusiasm for climate science shine through! We want to see how your passion aligns with our mission and the role. Share any personal projects or experiences that highlight your commitment to the field.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this specific role. Highlight your PhD and relevant research experience, and don’t forget to mention any collaborative projects you've worked on. We love seeing how you fit into our team!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to describe your skills and experiences. We appreciate a well-structured application that makes it easy for us to see why you’re the perfect fit for the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. Plus, it helps us keep everything organised on our end!
How to prepare for a job interview at Crossing Hurdles
✨Know Your Climate Science
Make sure you brush up on the latest trends and research in climate science. Be prepared to discuss your PhD work and how it relates to AI evaluation. This shows your passion and expertise, which is crucial for the role.
✨Showcase Your Analytical Skills
Prepare examples of past projects where you've demonstrated strong analytical reasoning. Discuss specific methodologies you used in data analysis and how they contributed to scientific precision. This will highlight your fit for the role.
✨Emphasise Collaboration
Since this position involves working with a remote team, be ready to talk about your experience in collaborative environments. Share how you’ve effectively communicated and worked with others, especially in a virtual setting.
✨Ask Insightful Questions
Prepare thoughtful questions about the organisation's current projects and future goals in climate data analysis. This not only shows your interest but also helps you gauge if the company aligns with your values and career aspirations.
