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, you can expect to: * 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, you’ll have opportunities to: * 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