- A 1st or 2.1 degree in a relevant subject (e.g. mathematics, natural sciences, economics, or geography), plus mostly A*s and As at A-level (or equivalent)
- Excellent Python coding skills - developing substantial well-structured programs rather than ad-hoc scripts.
- Experience or proven interest in applying mathematical modelling or data science techniques to areas such as climate or environmental prediction.
- Full, existing, and unrestricted right to work in the UK
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Four Squared Recruitment Ltd Cambridge, Cambridgeshire, United Kingdom £50,000 - £60,000Senior Physical Climate Risk Modeller · £50-60k Cambridge/hybrid We are recruiting for our specialist tech start up clients, with a clear mission statement; you will be joining a business who are using their product to assist some of the biggest global brands in their pathway to ...
Python Environmental Risk Modeller - Cambridge, United Kingdom - ECM Selection
Description
Apply your Python skills to modelling a more sustainable futureApply your Python software engineering skills to mitigating the impact of climate change and other environmental challenges and take advantages of the opportunities presented by a future sustainable economy.
Numerical modelling can guide companies and government organisations in adapting to changes in the natural environment whilst minimising impact to people.
This successful company are developing a analytics suite to help predict such scenarios. As their team grows, they are seeking an Python Environmental Risk Modeller to join them.Working with large and complex data sets, deriving insights, quantifying impacts, and presenting results to stakeholders.
Your expertise in modelling will allow you to become a key contributor to the future evolution of the modelling suite.
You will need:
Working with and learning from a bright team of colleagues, you will develop your career whilst helping build a more sustainable future.
Predominantly based in the company's Cambridge offices, this role comes with a competitive salary and benefits package, and has some scope for occasional hybrid working.
Keywords:
Environmental Risk, Business Risk, Climate Science, Risk Modelling, Mathematical Modelling, Data Science, Sustainability, Cambridge
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