Climate Data Scientist in London

Climate Data Scientist in London

London Full-Time 36000 - 60000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us to develop innovative climate risk models and analytical tools.
  • Company: Be part of ISS Sustainability, a leader in climate solutions.
  • Benefits: Enjoy a supportive culture with growth opportunities and diverse perspectives.
  • Why this job: Make a real impact on climate change while working with cutting-edge technology.
  • Qualifications: Ideal for those with a background in climate science and data analysis.
  • Other info: Collaborate globally in a fast-paced environment with excellent career prospects.

The predicted salary is between 36000 - 60000 Β£ 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.

Our ideal candidate is/has:

  • 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, e.g. in atmospheric sciences, climate change, climate impacts, physics-based climate hazard modelling or natural catastrophe modelling transforming frontier research to production workflows.
  • 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 in London employer: ISS | Institutional Shareholder Services

At ISS Sustainability, we pride ourselves on being a leading employer in the climate data science field, offering a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through our diverse training opportunities and supportive culture, where every team member's expertise is valued and encouraged. Located in a global hub for sustainability solutions, we empower our employees to make a meaningful impact on climate-related risks while enjoying the benefits of a flexible and inclusive workplace.
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Contact Detail:

ISS | Institutional Shareholder Services Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Climate Data Scientist in London

✨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 and give you insights that job descriptions 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 is your chance to demonstrate your expertise and make a lasting impression.

✨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 pastβ€”real-life examples will make you stand out!

✨Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our team at ISS Sustainability.

We think you need these skills to ace Climate Data Scientist in London

Climate Risk Modelling
Geospatial Data Analysis
Data Science
Machine Learning
Statistical Analysis
Python Programming
QGIS
UNIX Shell
Docker
Data Processing
Analytical Skills
Problem-Solving Skills
Communication Skills
Collaboration Skills
Knowledge of Climate Systems

Some tips for your application 🫑

Tailor Your Application: Make sure to customise your CV and cover letter for the Climate Data Scientist role. Highlight your experience with climate models, data analysis, and any relevant projects that showcase your skills in this area.

Showcase Your Technical Skills: Don’t forget to mention your proficiency in tools like PyTorch, TensorFlow, and QGIS. We want to see how you’ve used these technologies in real-world scenarios, so be specific about your achievements!

Communicate Clearly: Since you'll be working with teams across different locations, clear communication is key. Make sure your written application reflects your ability to convey complex ideas simply and effectively.

Apply Through Our Website: We encourage you 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 role. Plus, it’s super easy!

How to prepare for a job interview at ISS | Institutional Shareholder Services

✨Know Your Climate Stuff

Make sure you brush up on your knowledge of climate science, especially 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.

✨Show Off 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. Being able to explain your process clearly will impress the interviewers.

✨Communicate Clearly

Since this role involves working with colleagues and clients globally, strong communication skills are a must. Practice explaining complex concepts in simple terms. You might even want to prepare a few examples of how you've successfully communicated technical information in the past.

✨Be Ready for Problem-Solving

Expect to face some non-routine analysis problems during the interview. Think of examples from your past work where you've tackled similar challenges. Show them your analytical thinking and problem-solving capabilities, as these are key for the role.

Climate Data Scientist in London
ISS | Institutional Shareholder Services
Location: London
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