Senior Environmental Data Scientist/Hydrologist

Wallingford
1 month ago
Create job alert

Location: Wallingford, UK (Remote considered)
Hours: Full-time (part-time considered)
Closing Date: 9 January 2026

Shape the future of hydrology and climate resilience. Our client is offering an exciting opportunity for an ambitious, collaborative Environmental Data Scientist or Hydrologist to join our clients growing software development team in Wallingford. If you want to innovate, solve real-world water challenges, and influence national environmental tools, we'd love to hear from you. In this role you will play a key role in developing our hydrological methods, modelling tools, and national design-standard software. Working at the intersection of hydrology, data science, and software development, you'll contribute to new methodologies, develop machine learning approaches, and support the scientific foundations of our products.

You'll help advance the science powering products such as:

Qube - our clients online water resources modelling platform, incorporating the CERF rainfall-runoff model.
FEH Flood Modelling Suite - ReFH2 and WINFAP5, the UK's trusted flood estimation tools.

Your role:

Develop and manage hydrological methods for Qube.
Contribute to ReFH2 and WINFAP5 development.
Explore and implement machine learning enhancements to hydrological models.
Support scientific research and integrate findings into commercial software.
Work closely with regulators and users to ensure compliance, quality, and usability.Required Skills & Experience

A good degree (2:1+) in a numerate discipline (Hydrology, Environmental Science, Civil Engineering, etc.).
Strong programming skills in Python and/or R.
Experience developing machine learning models for environmental or complex datasets.
Confidence working with spatial/temporal datasets (NetCDF, ASCII, etc.).
Excellent communication skills for both technical and non-technical audiences.
Demonstrable experience in hydrology or water-related environmental science.
A relevant postgraduate qualification is welcome but not essential. What you can expect in year one:

Build deep expertise in Qube, CERF, and the FEH flood modelling suite.
Develop Python modules and apply ML methods to hydrological problems.
Become familiar with UK water environment regulatory frameworks.
Collaborate with leading UKCEH scientists and liaise with UK regulators.
Produce high-quality technical reports.
Begin your journey toward professional chartership (e.g., CIWEM).Following your first year, opportunities include:

Influencing the strategic development of our software products.
Leading R&D projects as a Project Manager.
Helping develop client proposals.
Contributing to our strategic marketing and product development plans.Benefits & Culture

Our client is an employee-owned trust, who invests in their people and their wellbeing.

40+ days holiday (with buy/sell options).
Profit-share and tax-free bonuses through employee ownership.
Matched pension contributions (5-10%).
Health plan, Cycle to Work, Environment Day.
5 days training per year, plus support towards chartership.
Flexible working arrangements.
Financial support for professional memberships
Formal appraisal and personal development planning
Flexible working hours
High-quality IT infrastructure & personal computing budget
Fun annual staff events (axe throwing, escape rooms, and more)

Related Jobs

View all jobs

Hydrologist/Senior Environmental Data Scientist

Environmental Data Scientist/Hydrologist

Environmental Data Scientist/Hydrologist

Environmental Data Scientist/Hydrologist

Senior RF Data Scientist / Research Engineer

Senior 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.

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

Robotics looks futuristic from the outside. People picture humanoid machines, cutting-edge labs & young engineers writing complex code. In the UK job market, the reality is more practical and more encouraging for career switchers: robotics is already embedded across manufacturing, logistics, healthcare, agriculture, defence, construction & inspection. That means there are real jobs for people in their 30s, 40s & 50s who bring operational experience, delivery skills, quality discipline & the ability to work with real-world systems. This article gives you a clear UK reality check on robotics careers for career switchers: what roles genuinely exist, which paths are most realistic, what skills employers actually hire for, how long retraining tends to take & whether age is a factor.

How to Write a Robotics Job Ad That Attracts the Right People

Robotics is moving rapidly from research labs into real-world deployment. Across the UK, robots are now used in manufacturing, logistics, healthcare, defence, agriculture, autonomous vehicles and service industries. As adoption accelerates, demand for skilled robotics professionals continues to grow. Yet many employers struggle to attract the right candidates. Robotics job adverts often receive either very few applications or large numbers of unsuitable ones. Experienced robotics engineers, meanwhile, routinely skip adverts that feel vague, unrealistic or disconnected from how robotics systems actually work in practice. In most cases, the problem is not the talent pool — it is the job advert itself. Robotics professionals are systems thinkers. They care deeply about constraints, integration and real-world performance. A poorly written job ad signals weak technical understanding and unrealistic expectations. A well-written one signals credibility, seriousness and a mature robotics programme. This guide explains how to write a robotics job ad that attracts the right people, improves applicant quality and positions your organisation as a credible employer in the robotics sector.

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

If you are applying for robotics jobs in the UK it is easy to assume you need degree level maths across everything. Most roles do not work like that. What hiring managers usually mean by “strong maths” is much more practical: you can move confidently between coordinate frames you understand rotations without getting lost you can reason about kinematics, control, uncertainty & optimisation you can turn that maths into working code in a robotics stack This guide focuses on the only maths topics that consistently show up across common UK roles like Robotics Software Engineer, Controls Engineer, Autonomous Systems Engineer, Perception Engineer, SLAM Engineer, Robotics Research Engineer, Mechatronics Engineer & Robotics Systems Engineer. You will also get a 6 week learning plan, portfolio projects & a resources section so you can learn fast without drowning in theory.