Senior Environmental Data Scientist / Hydrologist
Location: Oxfordshire (hybrid / remote options available)
Salary: £38,000 - £42,000 + Excellent Benefits
We are partnering with a growing environmental and data‑led consultancy that is expanding its technical team and seeking an experienced Environmental Data Scientist / Hydrologist. This role sits within a collaborative science and software environment and offers the opportunity to work on nationally significant modelling tools that influence water management and flood‑risk decision making across the UK.
The position is well suited to someone with a strong analytical mindset who enjoys combining environmental science, data analysis and software development to deliver real‑world impact.
The Opportunity
You will become part of a multidisciplinary team responsible for developing, enhancing and maintaining large‑scale hydrological modelling systems. These platforms are used by regulators, practitioners and researchers to better understand river systems, flood behaviour and long‑term water availability.
A key element of the role will involve improving an established water‑resources modelling framework, alongside contributing to the ongoing evolution of national flood‑risk estimation tools. There is also scope to explore and embed machine learning techniques within traditional hydrological methods to extend capability and performance.
Key Responsibilities
- Develop, test and improve hydrological models used at national scale
- Contribute to the advancement of flood‑risk and water‑resource assessment tools
- Support software testing, validation and usability improvements
- Collaborate with regulators, researchers and end users to ensure outputs remain accurate and compliant
- Contribute to applied research and convert findings into practical tools and methodologies
About You
- Degree‑qualified (2:1 or above) in a numerate or environmental discipline such as hydrology, earth sciences, environmental science or civil engineering
- Strong programming experience in Python and/or R
- Practical experience applying machine learning techniques to environmental, spatial or time‑series data
In your initial 12 months
- Develop a strong understanding of the organisation's modelling tools and software platforms
- Build and deploy Python‑based modules addressing real hydrological challenges
- Collaborate with academic partners and national stakeholders
- Produce high‑quality technical documentation and reports
- Begin working towards professional accreditation (e.g. CIWEM or equivalent)
As the role develops
- Influence long‑term technical and product strategy
- Identify new modelling approaches, tools or service offerings
- Lead components of research and development initiatives
- Support proposal development and client‑facing work
Benefits & Working Environment
- Employee‑owned business model with tax‑efficient profit‑share bonuses
- Additional performance‑related bonus opportunities
- Transparent salary bands and clear progression routes
- Share‑option opportunities at senior levels (subject to tenure)
- Generous annual leave allowance (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 and wellbeing support
- Cycle‑to‑work scheme
- Paid volunteering day focused on environmental or community initiatives
- Structured performance reviews and personalised development plans
- Dedicated annual training allowance and funded professional memberships
- Regular team events, social activities and knowledge‑sharing sessions
Interested in learning more? For a confidential discussion about this opportunity, apply now
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