Environmental Data Scientist/Hydrologist Penguin Recruitment Ltd

Notjustlabcoats
Oxford
1 day ago
Create job alert
Job Title:

Senior Environmental Data Scientist/Hydrologist

Ref. No.:

CJD1001S26

Location:

Based near Oxford

Salary:

£35,000 - £42,000

This is a wonderful opportunity to join my client, a highly-regarded, environmentally-savvy Multidisciplinary Consultancy, renowned for lending their expertise to projects across the Water, Transport, and Renewable Energy Sectors. They are currently seeking a talented, enthusiastic Senior Environmental Data Scientist/Hydrologist with demonstrable knowledge of hydrology and hydrological modelling, who is keen to lead a team through their delivery of several challenging projects. You will be based near the beautiful, academic city of Oxford.

Benefits for the role of Senior Environmental Data Scientist/Hydrologist include (but are not limited to):
  • Competitive salary, rising with experience
  • Employee Pension Scheme
  • Very generous annual leave entitlement
  • A focus on work-life balance, with possibilities of flexible/hybrid working
  • Healthcare plan
  • Dedication to your Continuing Professional Development (CPD), with excellent career progression opportunities
  • Delivery of a wide range of exciting engineering projects across the local region and beyond
Responsibilities for the role of Senior Environmental Data Scientist/Hydrologist include:
  • Contribute to the development of models and methods, utilising various software platforms, including Qube, CERF, FEH Flood Modelling Suite, ReFH2, and WINFAP5
  • Produce flow estimation, flood estimation, and catchment models
  • Identify opportunities for developing hydrological models, utilising machine learning for improvement and development purposes
  • Develop, manage, and enhance hydrological and modelling methods
  • Provide dedicated support to scientific research
  • Liaise closely with clients and other stakeholders, across the public and private sectors
Required skills and experience for the role of Senior Environmental Data Scientist/Hydrologist include:
  • A Bachelor's Degree in Hydrology, Environmental Science, or a cognate discipline
  • Demonstrable experience of coding, with particular familiarity with Python and/or R
  • Considerable experience of developing machine learning models, particularly when applied to environmental data
  • Experience of working in a hydrological or water-based environmental science role
  • Confident ability in handling complex data sets, particularly those that are spatial and temporal in nature (e.g., NetCDF, ASCII, etc.)
  • Excellent communication and interpersonal skills, with the ability to present information accurately and concisely to a range of audiences
  • Good literacy and numeracy skills, particularly when applied to report writing
  • Analytically-minded
Desirable skills and experience for the role of Senior Environmental Data Scientist/Hydrologist include:
  • A Higher Degree in a relevant subject area
  • Possess a full, valid UK Driver's Licence

If you are interested in the role of Senior Environmental Data Scientist/Hydrologist, please do not hesitate to contact Caroline Davis at Penguin Recruitment. Please also see our website for a range of other roles currently available. This is a permanent role. Penguin Recruitment is operating as a recruitment agency in respect to this vacancy.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Environmental Data Scientist & Hydrologist (Oxford)

Senior Data Scientist

Data Scientist Biologicals Research

Data Scientist

Spatial Data Scientist: Environmental Policy Impact

Spatial Data Scientist

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.