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- Tasks: Deliver global weather forecasts and conduct innovative meteorological analysis.
- Company: Join an innovative client focused on advanced meteorology beyond conventional forecasts.
- Benefits: Enjoy opportunities for research, conference presentations, and a dynamic work environment.
- Why this job: Be part of a cutting-edge team making impactful weather predictions and analyses.
- Qualifications: MSc or PhD in meteorology; operational forecasting experience required.
- Other info: Strong coding skills in Python are a plus for data analysis.
The predicted salary is between 36000 - 60000 £ per year.
Are you a Meteorologist with a passion for applied meteorology? An innovative client of mine are looking for a Meteorologist to support the development and operations that operate beyond the scope of conventional forecasts.
Key Responsibilities:
- Deliver accurate global weather forecasts ranging from within-day to seasonal timescales
- Capture key changes in NWP/AI models
- Provide expert interpretation including clear communication of uncertainties
- Conduct innovative meteorological analysis for client projects
- Conduct your own research with limited oversight and present at conferences
What We’re Looking For:
- Hold a MSc or PhD in meteorology or a related quantitative discipline
- Have proven operational forecasting experience
- Have experience of writing forecasts
- Have strong quantitative skills and sense-check results as the norm
- Be able to write code from scratch to analyse .nc or .grib files (with python an advantage)
For more information, or to apply, please contact Kieran Wilson.
Contact Detail:
GTS Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Meteorologist
✨Tip Number 1
Network with professionals in the meteorology field. Attend conferences, webinars, or local meetups to connect with others who share your passion. This can lead to valuable insights and potential job opportunities.
✨Tip Number 2
Stay updated on the latest advancements in numerical weather prediction (NWP) and artificial intelligence (AI) models. Familiarise yourself with recent research papers and case studies to demonstrate your knowledge during interviews.
✨
Develop a portfolio showcasing your forecasting experience and any innovative analyses you've conducted. This could include examples of your code, visualisations, or presentations that highlight your skills and expertise.
✨Tip Number 4
Practice your communication skills, especially when explaining complex meteorological concepts. Being able to convey uncertainties and findings clearly will be crucial in your role and can set you apart from other candidates.
We think you need these skills to ace Meteorologist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your MSc or PhD in meteorology or a related quantitative discipline. Emphasise your operational forecasting experience and any relevant coding skills, particularly in Python.
Craft a Strong Cover Letter: In your cover letter, express your passion for applied meteorology and detail your experience with innovative meteorological analysis. Mention specific projects where you've delivered accurate forecasts and how you communicated uncertainties.
Showcase Your Research: If you have conducted research or presented at conferences, include this in your application. Highlight any innovative approaches you've taken in your work and how they relate to the role.
Proofread Your Application: Before submitting, carefully proofread your application for clarity and accuracy. Ensure that your writing is clear and professional, as effective communication is key in this role.
How to prepare for a job interview at GTS Group Ltd
✨Showcase Your Technical Skills
Make sure to highlight your coding abilities, especially in Python, as well as your experience with .nc or .grib files. Be prepared to discuss specific projects where you applied these skills.
✨Demonstrate Your Forecasting Experience
Be ready to share examples of your operational forecasting experience. Discuss the methodologies you used and how you communicated uncertainties in your forecasts.
✨Prepare for Technical Questions
Expect questions related to numerical weather prediction (NWP) and artificial intelligence (AI) models. Brush up on recent advancements in these areas and be prepared to explain how they impact forecasting.
✨Research the Company and Its Projects
Familiarise yourself with the innovative projects the company is involved in. This will help you tailor your responses and show genuine interest in their work during the interview.
