At a Glance
- Tasks: Work on climate hazards and risk modelling with industry experts.
- Company: Climate X, a leader in climate risk science based in London.
- Benefits: Paid internship, hands-on experience, and networking opportunities.
- Other info: Hybrid work model with a focus on professional growth.
- Why this job: Make a real impact on climate change while developing your skills.
- Qualifications: Graduate students or recent postgraduates with data analysis and programming skills.
The predicted salary is between 20000 - 30000 € per year.
Climate X in London is seeking a Science Intern for a 12-week summer internship starting in July. This paid, full-time position involves working on climate hazards and risk modelling alongside experts.
Interns will apply skills in data analysis, programming (specifically in Python), and geospatial tools like GeoPandas and QGIS.
Ideal candidates are graduate students or recent postgraduates in relevant fields and must have a strong interest in climate risk and applied modelling.
Climate Risk Science Intern – Hybrid (London) employer: Climate X
At Climate X, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. Our interns benefit from hands-on experience working alongside industry experts, with ample opportunities for professional growth and development in the rapidly evolving field of climate science. Join us to make a meaningful impact while enjoying a supportive environment that values your contributions and encourages your passion for tackling climate challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Climate Risk Science Intern – Hybrid (London)
✨Tip Number 1
Network like a pro! Reach out to professionals in the climate science field on LinkedIn or at events. A friendly chat can open doors and give you insights that might just land you that internship.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using Python and geospatial tools. This will help us see your practical experience and passion for climate risk modelling.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to climate hazards and risk modelling. We want to see your enthusiasm and knowledge, so practice explaining your projects and how they relate to the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining our team at Climate X.
We think you need these skills to ace Climate Risk Science Intern – Hybrid (London)
Some tips for your application 🫡
Show Your Passion for Climate Science:When writing your application, let your enthusiasm for climate risk and science shine through. We want to see that you’re genuinely interested in the field and how your skills can contribute to tackling climate challenges.
Highlight Relevant Skills:Make sure to showcase your data analysis and programming skills, especially in Python. If you've worked with geospatial tools like GeoPandas or QGIS, mention those experiences too. We love seeing how your background aligns with what we do!
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Climate Risk Science Intern role. We appreciate when candidates take the extra step to connect their experiences to our needs.
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’re considered for the role. Plus, it shows you’re proactive and keen to join our team!
How to prepare for a job interview at Climate X
✨Know Your Climate Risks
Make sure you brush up on the latest trends and challenges in climate risk science. Familiarise yourself with key concepts and recent developments in climate hazards and risk modelling, as this will show your genuine interest and understanding of the field.
✨Show Off Your Technical Skills
Since the role involves programming in Python and using geospatial tools like GeoPandas and QGIS, be prepared to discuss your experience with these technologies. Bring examples of projects you've worked on or problems you've solved using these skills to demonstrate your capability.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects or the methodologies they use in their work. This not only shows your enthusiasm for the role but also helps you gauge if the internship aligns with your career goals.
✨Practice Your Data Analysis Stories
Think of specific instances where you've applied data analysis in your studies or previous roles. Be ready to explain your thought process, the tools you used, and the outcomes. This will help you articulate your problem-solving skills effectively during the interview.
