Environmental Data Scientist/Hydrologist

Aztrum
Wallingford
1 month ago
Applications closed

Related Jobs

View all jobs

Portfolio Revenue & Debt Data Scientist

Senior Data Scientist

Lead Data Scientist

Manufacturing Data Scientist

Lead Data Scientist

Data Scientist

Environmental Data Scientist / Hydrologist

Wallingford, UK (remote options considered)
£38,000 – £42,000

We are working with a fast-growing environmental consultancy that is seeking a Senior Environmental Data Scientist / Hydrologist to join its team in the Wallingford area. This position is ideal for someone who thrives in a collaborative scientific environment and wants to deepen their expertise in hydrological modelling, data analysis and environmental software development.

Role Overview

The successful candidate will join a multidisciplinary science and software team responsible for designing, improving and maintaining national hydrological modelling systems. These tools support key decisions relating to river behaviour, flood mitigation and long-term water management.

A major focus of the role will be on enhancing a widely used water-resource modelling platform, along with contributing to updates of national flood-estimation tools. The position also involves exploring ways machine learning can be integrated into existing hydrological methods to improve accuracy and expand capability.

Key Responsibilities

• Develop and refine hydrological modelling methods for a national water-resources platform
• Contribute to the enhancement of leading flood-estimation tools used across the UK
• Research and apply machine learning techniques to hydrological datasets
• Incorporate scientific findings into commercial software, including interface testing and usability improvements
• Work closely with regulators, end users and technical specialists to ensure tools remain accurate, compliant and user-friendly
  • Support ongoing scientific research and translate outcomes into practical solutions

Skills & Experience Required:

• A good degree (2:1 or above) in a numerate or environmental discipline such as hydrology, earth sciences or civil engineering; postgraduate study is welcome but not essential
• Strong programming capability in Python and/or R
• Experience designing or applying machine learning models to environmental or geospatial data
• Ability to process and analyse complex datasets such as spatial or time-series formats (e.g. NetCDF, ASCII)
• Strong communication skills, able to explain technical concepts to both specialists and non-specialists
 • Demonstrated knowledge or experience in hydrology, water-environment work or related environmental science

What the First Year Looks Like:

During the first 12 months, the new team member will:
• Build familiarity with the organisation’s hydrological modelling tools and software suite
• Develop Python modules and apply ML approaches to real hydrological challenges
• Gain an understanding of the UK’s regulatory framework for water and flood-risk activities
• Collaborate with partner research institutions and engage with national regulators
• Produce high-quality technical reports and documentation
 • Begin progressing toward professional chartership (e.g., CIWEM or equivalent)

As experience grows, they will have opportunities to:
• Contribute to long-term scientific and commercial development strategies
• Identify innovative opportunities for new products, capabilities or modelling approaches
• Lead elements of research and development projects
 • Support the preparation of client proposals

Benefits & Culture:
• Employee-ownership structure with tax-free profit-share bonuses
• Additional performance-related bonus opportunities
• Clear pay bands and transparent promotion pathways
• Share-option opportunities for senior grades (subject to tenure)
• Exceptional holiday allowance of over 40 days including buy/sell options
• Pension scheme with employer contributions starting at 5% and increasing with service
• Health-cash plan including virtual GP access, counselling support and routine healthcare cashback
• Cycle-to-Work scheme
• Annual volunteering day focused on environmental or educational projects
• Structured appraisal process with tailored development plans
• Up to five dedicated training days per year
• Financial support for membership of professional bodies
• Flexible working hours supported by robust IT provision
• Individual tech budget for computing equipment
 • Regular staff events, team days and social activities

If you are interested in this Senior Environmental Data Scientist / Hydrologist, please contact Callum via (url removed)

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.

Jobs

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

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

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.