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- Tasks: Join us to enhance climate risk models and develop innovative analytical tools.
- Company: Be part of ISS Sustainability, a leader in climate solutions and innovation.
- Benefits: Enjoy a supportive culture, career growth, and the chance to make a real impact.
- Why this job: Work at the forefront of climate science and contribute to sustainable finance.
- Qualifications: Advanced degree in environmental sciences and experience with climate data analysis required.
- Other info: Collaborate globally in a fast-paced environment with diverse teams.
The predicted salary is between 36000 - 60000 £ per year.
ISS Sustainability is growing! Our Climate & Nature unit seeks a climate data scientist to improve our existing climate and nature risk models, create new models and develop new products, and analytical tools and AI techniques to support financial market participants and governments to understand, measure and act on climate-related risks and their impact on investments across all asset classes. This is a fast-paced opportunity working within ISS Sustainability Climate & Nature Solutions, a market leader within its field and highly innovative.
In this role, you will be a topic expert in physical climate risks, climate change, climate impacts and natural hazard modelling. You will work with large, multimodal geospatial data sets, solving non-routine analysis problems and applying advanced analytical methods as needed. You will have a central role in data-driven model development efforts including requirements specification, data gathering and processing, model tuning, validation, and structuring data-driven impact stories. This includes interactions with colleagues and clients from around the globe and getting involved in several aspects of operations.
Responsibilities- Leverage your deep knowledge of climate and earth systems as well as analytical expertise to contribute to the team’s data science-driven product development efforts.
- Support the development of climate risk assessment products through work with large, complex data sets, solving non-routine analysis problems, and applying advanced analytical methods.
- Develop custom data models and algorithms to apply to data sets.
- Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like spatial regression, super resolution, clustering etc.
- Help maintain and improve existing datasets, models and pipelines.
- Contribute to regular data updates.
- Assess the effectiveness and accuracy of new data sources and data-gathering techniques.
- Coordinate with other Sustainability and climate and nature-risk products and understand the competitor landscape.
- Support colleagues and clients on ISS Sustainability product offerings as a topic expert, including day-to-day communications and operations.
- Help client-facing teams with product use and specialist client questions.
- Analyse international regulatory requirements, public datasets, scenario data, etc., to identify how to add value and develop new climate-related sustainable finance products.
- Advanced university degree ideally in atmospheric or physical sciences, meteorology, hydrology, environmental science or equivalent.
- Experience as a climate scientist, hazard modeller, environmental engineer or similar, with expertise in developing or maintaining large climate physical hazard models.
- Experience using and interpreting climate model output and climate model projections (such as from CMIP5 and CMIP6).
- Experience in leveraging AI/ML and developing AI-driven solutions, and/or predictive models.
- Demonstrable experience in PyTorch or TensorFlow, JAX or similar.
- Experience training ML models on large and noisy datasets is a plus.
- Comfortable working with large geospatial and climate data and different file formats (NetCDF, Zarr, GeoTIFF).
- Ability to work with geospatial data analysis tools and technologies, including QGIS and Python Xarray/Dask/Rasterio.
- Good working knowledge of UNIX shell and docker.
- Robust data science and statistical analysis capabilities.
- Previous research and publishing climate papers experience is a plus.
- Excellent communication, strong analytical skills and problem-solving capabilities.
- Ability to work collaboratively and to efficiently work with teams across different locations and time zones in a fast-paced environment.
- Excellent oral and written command of English (French or German is a plus).
- Previous experience in ESG and/or Sustainable Climate Finance is a plus.
Please note that due to the holiday period, we will respond to applications in early January.
Climate Data Scientist employer: ISS
Contact Detail:
ISS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Climate Data Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the climate data science field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving climate models or AI techniques. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of climate risks and data analysis methods. Be ready to discuss how you've tackled complex problems in the past.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Climate Data Scientist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with climate data and analytical methods. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise!
Showcase Your Technical Skills: Since this role involves working with large datasets and advanced analytical methods, be sure to mention your experience with tools like PyTorch, TensorFlow, and geospatial analysis. We love seeing candidates who can hit the ground running!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your past experiences and how they relate to the job. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: We encourage you to submit your application through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at ISS
✨Know Your Climate Stuff
Make sure you brush up on your knowledge of climate science, particularly physical climate risks and hazard modelling. Be ready to discuss specific models you've worked with and how they relate to the role. This will show that you're not just familiar with the theory but can apply it practically.
✨Showcase Your Data Skills
Prepare to talk about your experience with large geospatial datasets and the analytical methods you've used. Highlight any projects where you've developed custom data models or algorithms, especially using tools like PyTorch or TensorFlow. This will demonstrate your technical expertise and problem-solving abilities.
✨Communicate Clearly
Since you'll be interacting with colleagues and clients globally, practice explaining complex concepts in simple terms. Good communication is key, so think about how you can convey your ideas effectively, both verbally and in writing. This will help you stand out as a collaborative team player.
✨Stay Updated on Regulations
Familiarise yourself with international regulatory requirements related to climate finance. Be prepared to discuss how these regulations impact climate risk assessment products. Showing that you understand the broader context of your work will impress interviewers and demonstrate your commitment to the field.
