Climate Data Scientist in London

Climate Data Scientist in London

London Full-Time 54000 - 66000 £ / year (est.) Home office (partial)
ISS Corporate Solutions

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.
  • Benefits: Enjoy a supportive culture with opportunities for personal and professional growth.
  • Other info: Collaborate globally in a dynamic environment focused on sustainability.
  • Why this job: Make a real impact on climate-related risks while working with cutting-edge data.
  • Qualifications: Advanced degree in environmental science or related field; experience in climate modelling preferred.

The predicted salary is between 54000 - 66000 £ per year.

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.

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.

Climate Data Scientist in London employer: ISS Corporate Solutions

At ISS STOXX, we pride ourselves on being a leading employer in the sustainability sector, offering a dynamic work environment in London that fosters innovation and collaboration. Our commitment to employee growth is evident through our diverse training opportunities and supportive culture, empowering you to make a meaningful impact in climate data science. Join us to be part of a forward-thinking team that values your expertise and encourages creativity in tackling climate-related challenges.

ISS Corporate Solutions

Contact Details:

ISS Corporate Solutions Recruitment Team

StudySmarter Expert Advice🤫

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

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Show Off Your Projects

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Apply Directly through Our Website

When you find a suitable opening like Climate Data Scientist at ISS Corporate Solutions, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

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 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at ISS Corporate Solutions, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ISS Corporate Solutions. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at ISS Corporate Solutions

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ISS Corporate Solutions!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.