Environmenatl Data Scientist/Hydrologist

Penguin Recruitment
Oxford
1 week ago
Create job alert
Senior Environmental Data Scientist / Hydrologist

Location: Oxfordshire


New year. New opportunity. If you want your work to genuinely influence how the UK manages flooding, water resources and climate resilience, this Senior Environmental Data Scientist / Hydrologist role is worth your attention.


This Senior Environmental Data Scientist / Hydrologist position sits within an environmentally focused, employee-owned consultancy that develops nationally recognised hydrological methods and software used across the UK water and flood‑risk sector. As a Senior Environmental Data Scientist / Hydrologist, you will work at the intersection of hydrology, data science and software development, helping shape tools used by regulators, consultants and infrastructure providers nationwide.


The Role

  • 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

About You

  • 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

Why Apply

This Senior Environmental Data Scientist / Hydrologist role offers technical influence, long‑term career progression, profit share, flexible working and the chance to work on nationally impactful tools within a people‑first, employee‑owned environment.


Eligibility to Apply

Applicants must already have the right to work in the UK. Sponsorship is not available.


Penguin Recruitment is operating as a Recruitment Agency for this position. For more information, contact Andy Hopkins, our Civil Engineering specialist with over 30 years' recruitment experience


#J-18808-Ljbffr

Related Jobs

View all jobs

Environmental Data Scientist/Hydrologist

Environmental Data Scientist / Hydrologist

Environmental Data Scientist / Hydrologist

Environmental Data Scientist / Hydrologist

Environmental Data Scientist / Hydrologist...

Environmental Data Scientist/Hydrologist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.