Climate Data Scientist in London

Climate Data Scientist in London

London Full-Time 36000 - 60000 £ / 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 opportunities for professional growth.
  • Other info: Collaborate globally in a fast-paced, dynamic environment.
  • Why this job: Make a real impact on climate-related risks and sustainable finance.
  • Qualifications: Advanced degree in relevant sciences and experience in climate modelling required.

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.
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.

What You Can Expect from Us

At ISS STOXX our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow professionally and personally. Together we foster an environment that fuels creativity, drives innovation, and shapes our future success. Lets empower, collaborate, and inspire. Lets be #BrilliantTogether.

About ISS STOXX

ISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer top-notch benchmark and custom indices globally helping clients identify investment opportunities and manage portfolio risks. Our services cover corporate governance, sustainability, cyber risk, and fund intelligence. Majority-owned by Deutsche Börse Group, ISS STOXX has over 3400 professionals in 33 locations worldwide serving around 6400 clients including institutional investors and companies focused on ESG, cyber, and governance risk. Clients trust our expertise to make informed decisions for their stakeholders' benefit.

ISS Sustainability Solutions enable investors to develop and integrate sustainable investing policies and practices, engage on responsible investment issues, and monitor portfolio company practices through screening solutions. ISS Sustainability Solutions also provides climate data analytics and advisory services to help financial market participants understand, measure, and act on climate-related risks across all asset classes. In addition, our solutions cover corporate and country ESG research and ratings enabling its clients to identify material social and environmental risks and opportunities.

Climate Data Scientist in London employer: ISS STOXX

At ISS STOXX, we pride ourselves on being a leading employer in the sustainability sector, 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, which empowers our team to tackle meaningful climate challenges. Located in a global hub for finance and sustainability, we provide our employees with unique access to cutting-edge resources and a network of experts dedicated to making a positive impact on the world.
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Contact Detail:

ISS STOXX 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 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 in London

Climate Modelling
Geospatial Data Analysis
Machine Learning
Data Science
Statistical Analysis
Python
QGIS
PyTorch
TensorFlow
NetCDF
Dask
Rasterio
Communication Skills
Problem-Solving Skills
Collaboration

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Climate Data Scientist role. Highlight your experience with climate models, data analysis, and any relevant projects that showcase your skills in handling large datasets and advanced analytical methods.

Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about climate science and how your background makes you a great fit for our team. Be sure to mention specific experiences that align with the responsibilities outlined in the job description.

Showcase Your Technical Skills: Don’t forget to highlight your technical skills, especially in AI/ML and geospatial data analysis tools. Mention any experience with Python, PyTorch, or TensorFlow, as well as your familiarity with different data formats like NetCDF or GeoTIFF.

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!

How to prepare for a job interview at ISS STOXX

✨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.

✨Get Familiar with AI Techniques

Since the role involves leveraging AI/ML, be ready to discuss your experience with tools like PyTorch or TensorFlow. Share examples of how you've trained models on large datasets and the outcomes of those projects. This will demonstrate your technical prowess and relevance to the position.

✨Communicate Clearly and Confidently

Strong communication skills are key, especially when discussing complex topics. Practice explaining your work in simple terms, as you'll need to interact with colleagues and clients from various backgrounds. Confidence in your delivery can make a big difference in how you're perceived.

Climate Data Scientist in London
ISS STOXX
Location: London

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