Senior Data Scientist & Hydrologist: ML for Water

Penguin Recruitment; Oxford; On-site; GBP 40,000 - 60,000; Full time

Job summary

An environmental consultancy in the UK is seeking a Senior Environmental Data Scientist / Hydrologist to influence flood management and climate resilience. This position involves developing hydrological methods, applying machine learning, and liaising with technical stakeholders. Candidates require a degree in a related field and strong Python/R skills. The role offers career progression, profit sharing, and a flexible working environment, emphasizing a people-first approach.

Benefits

Flexible working

Profit share

Long-term career progression

Qualifications

• Experience applying machine learning to environmental or water datasets.
• Solid grounding in hydrology, flood risk or water resources.

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 models.
• Analyse complex spatial and temporal datasets.
• Translate scientific research into commercial-grade software.
• Liaise with regulators, users and technical stakeholders.
• Produce clear, high-quality technical documentation and reports.

Skills

Strong Python coding capability

Strong R coding capability

Experience applying machine learning

Confident communicator

Education

Degree (2:1 or above) in Hydrology, Environmental Science, Civil Engineering

Job description

An environmental consultancy in the UK is seeking a Senior Environmental Data Scientist / Hydrologist to influence flood management and climate resilience. This position involves developing hydrological methods, applying machine learning, and liaising with technical stakeholders. Candidates require a degree in a related field and strong Python/R skills. The role offers career progression, profit sharing, and a flexible working environment, emphasizing a people-first approach.