Climate Data Scientist in London

Climate Data Scientist in London

London Full-Time 50000 - 70000 £ / year (est.) Home office (partial)
ISS STOXX Sustainability

At a Glance

  • 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, competitive pay, and opportunities for personal growth.
  • Other info: Collaborate globally in a dynamic environment with excellent career advancement potential.
  • Why this job: Make a real impact on climate change while working with cutting-edge data science.
  • Qualifications: Advanced degree in relevant sciences and experience with climate data analysis required.

The predicted salary is between 50000 - 70000 £ per year.

ISSSustainability 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 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.
  • Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like spatial regression, super resolution, clustering, etc.
  • Support the maintenance and improvement of existing datasets, models, and pipelines, including contributing to regular data updates.
  • Evaluate new data sources and data collection methods for accuracy and effectiveness.
  • Coordinate with colleagues working on sustainability, climate, and nature risk products, and stay informed about the broader market landscape.
  • Provide topic expertise to colleagues and clients on ISS Sustainability products, including support with product use and specialist client questions.
  • Analyse regulatory requirements, public datasets, climate scenarios, and other relevant information to identify opportunities for improving existing products and developing new sustainable finance solutions.

Qualifications/Skills:

  • Advanced university degree in atmospheric or physical sciences, meteorology, hydrology, environmental science, or a related field.
  • Experience working as a climate scientist, hazard modeller, environmental engineer, or similar, including work on developing or maintaining climate hazard models or natural catastrophe models.
  • Ability to use and interpret climate model outputs and projections, including those from CMIP datasets.
  • Experience with AI or machine learning methods and developing predictive models is an advantage.
  • Strong skills in working with large geospatial and climate datasets using Python, including libraries such as Xarray, Dask, and Rasterio.
  • Familiarity with geospatial data formats such as NetCDF, Zarr, and GeoTIFF.
  • Working knowledge of UNIX shell and Docker is beneficial.
  • Solid data science and statistical analysis skills.
  • Research experience or climate-related publications are an advantage.
  • Strong analytical, communication, and problem-solving skills.
  • Ability to collaborate effectively with colleagues across multiple locations and time zones in a dynamic environment.
  • Excellent written and spoken English.
  • Knowledge of French or German is a plus.
  • Experience in ESG or sustainable climate finance is considered an advantage.

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. Let’s empower, collaborate, and inspire. Let’s 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 3,400 professionals in 33 locations worldwide, serving around 6,400 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 Sustainability

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 the unique advantage of working alongside top professionals while contributing to impactful projects that shape the future of sustainable investing.

ISS STOXX Sustainability

Contact Details:

ISS STOXX Sustainability Recruitment 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 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 geospatial data and climate models. This is your chance to shine and demonstrate your expertise.

Tip Number 3

Prepare for interviews by brushing up on common questions related to climate data science. Be ready to discuss your experience with Python and machine learning methods—this is your moment to impress!

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
Python Programming
Xarray
Dask
Rasterio
Statistical Analysis

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 you've worked on. We want to see how your skills align with what we're looking for!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about climate science and how you can contribute to our team. Be sure to mention specific skills or experiences that relate to the job description.

Showcase Your Analytical Skills:Since this role involves working with complex datasets and advanced analytical methods, make sure to showcase your analytical skills in your application. Mention any tools or programming languages you’re proficient in, like Python or machine learning techniques.

Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at ISS STOXX Sustainability

Know Your Climate Stuff

Make sure you brush up on your knowledge of climate systems and risk models. Be prepared to discuss specific examples of how you've worked with large geospatial datasets or developed predictive models. This will show that you’re not just familiar with the theory but have practical experience too.

Show Off Your Technical Skills

Since this role involves using Python and libraries like Xarray and Dask, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to data manipulation and analysis beforehand.

Communicate Clearly

Strong communication skills are key, especially when explaining complex data findings to colleagues or clients. Practice summarising your past projects in a way that’s easy to understand, focusing on the impact of your work and how it relates to climate risks.

Be Ready for Collaboration

This role requires working with teams across different locations and time zones. Prepare examples of how you've successfully collaborated in the past, especially in dynamic environments. Highlight your adaptability and willingness to engage with diverse teams.