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Data Scientist

Want to have a real impact on Global Warming? This opportunity will enable you to have a tangible impact on the activities of multinational organisations and support them on their path to net zero. Our client has recently series A funding and is looking to double the size of their team to enable them to provide further support to their blue chip client base. They were born out of Cambridge University and you will be working with industry experts on a mission to tackle climate change.

As Data Scientist you will work with a multidisciplinary environment to identify and analyse new sources of data to quantify climate change risk. You will be responsible for identifying and harvesting structured and unstructured data sources and summarise the findings to inform model assumptions.

Responsibilities:

  • Analysing data and generating statistical information to identify trends and patterns.

  • Researching and mining various data sources including climate model outputs, greenhouse gas emission data, socio-economic and macro-economic forecasts, corporate financial data and consumer sentiment data.

  • Understanding the phases of model development from design, build, test and deploy and contributing to decision making throughout this lifecycle.

  • Using a range of programming languages to transform big data into data sets.

  • Translating technical data to simple language and giving recommendations and conclusions to internal and external stakeholders.

  • Developing interactive dashboards that combine visuals with real-time data.

  • Building scalable machine learning pipelines and using future engineering and optimisation methods to improve data set performance.

  • Working with Technologists to integrate and separate data feeds to map, produce, transform and test new scalable data sets.

The successful candidate will be educated to PhD or MSc level in a field such as data science, computer science, maths or statistics. You will be a problem solver with a positive attitude towards new challenges and solving data science problems. In return you will be well rewarded and have the opportunity to develop your career in a growing team of industry leaders.