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Senior Environmental Data Scientist / Hydrologist (Flexible)

Penguin Recruitment Ltd

England

On-site

GBP 38,000 - 55,000

Full time

Yesterday
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Job summary

A leading environmental consultancy in the UK is looking for a Senior Environmental Data Scientist / Hydrologist to influence flood risk management and climate resilience. This role involves developing hydrological methods and enhancing software used nationwide, offering technical influence and career progression. The ideal candidate will have strong coding capabilities in Python or R and a background in hydrology or environmental science, while working in a people-first environment.

Benefits

Profit share
Flexible working
Career progression

Qualifications

  • Degree (2:1 or above) in Hydrology, Environmental Science, Civil Engineering or similar.
  • Strong Python and/or R coding capability.
  • Experience applying machine learning to environmental or water datasets.
  • Solid grounding in hydrology, flood risk or water resources.
  • Confident communicator with both technical and non-technical audiences.

Responsibilities

  • Develop and manage hydrological methods within national water resource and flood modelling platforms.
  • Contribute to industry-standard flood estimation and hydrological software tools.
  • Apply machine learning techniques to enhance existing hydrological models.
  • Analyse complex spatial and temporal datasets.
  • Translate scientific research into commercial-grade software and tools.
  • Liaise with regulators, users and technical stakeholders.
  • Produce clear, high-quality technical documentation and reports.

Skills

Python coding capability
R coding capability
Machine learning application
Communication skills

Education

Degree in Hydrology, Environmental Science, Civil Engineering or similar
Job description
A leading environmental consultancy in the UK is looking for a Senior Environmental Data Scientist / Hydrologist to influence flood risk management and climate resilience. This role involves developing hydrological methods and enhancing software used nationwide, offering technical influence and career progression. The ideal candidate will have strong coding capabilities in Python or R and a background in hydrology or environmental science, while working in a people-first environment.
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