At a Glance
- Tasks: Develop and enhance hydrological models for national water management and flood-risk assessment.
- Company: Join a growing environmental consultancy with a collaborative and innovative culture.
- Benefits: Enjoy competitive salary, generous leave, profit-sharing bonuses, and professional development opportunities.
- Other info: Flexible hybrid/remote work options and excellent career growth potential.
- Why this job: Make a real-world impact on water management while working with cutting-edge technology.
- Qualifications: Degree in a relevant field and strong programming skills in Python or R.
The following information aims to provide potential candidates with a better understanding of the requirements for this role.
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.
Hydrologist/Senior Environmental Data Scientist in Wallingford employer: Aztrum
Join a forward-thinking environmental consultancy in Oxfordshire, where your expertise as a Hydrologist/Senior Environmental Data Scientist will contribute to impactful water management solutions. Enjoy a collaborative work culture that prioritises employee growth through structured development plans, generous benefits including a profit-share scheme, and the flexibility of hybrid working arrangements. With opportunities to influence national flood-risk strategies and engage in meaningful projects, this is an excellent place for professionals seeking to make a real difference in the field of environmental science.
StudySmarter Expert Advice🤫
We think this is how you could land Hydrologist/Senior Environmental Data Scientist in Wallingford
✨Tip Number 1
Network like a pro! Reach out to professionals in the environmental data science field on LinkedIn or at local meetups. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. We recommend using real-world examples from your experience with hydrological models or machine learning techniques to impress your interviewers.
✨Tip Number 3
Don’t just apply; follow up! After submitting your application through our website, drop a quick email to express your enthusiasm. It shows initiative and keeps you on their radar.
✨Tip Number 4
Stay updated on industry trends and advancements in hydrology and data science. We suggest reading relevant journals or attending webinars to keep your knowledge fresh and demonstrate your passion during interviews.
We think you need these skills to ace Hydrologist/Senior Environmental Data Scientist in Wallingford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your programming experience in Python or R, and any relevant projects you've worked on in hydrology or environmental science.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about environmental data science and how your background makes you a great fit for our team. Be specific about your achievements and how they relate to the role.
Showcase Your Analytical Skills:Since this role requires a strong analytical mindset, include examples of how you've used data analysis to solve real-world problems. Mention any machine learning techniques you've applied in your previous work.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. This way, we can easily track your application and get back to you quicker!
How to prepare for a job interview at Aztrum
✨Know Your Hydrology
Make sure you brush up on your hydrological knowledge and the latest modelling techniques. Be prepared to discuss how you've applied your analytical skills in previous roles, especially in relation to flood-risk assessment and water resource management.
✨Show Off Your Coding Skills
Since strong programming experience in Python and/or R is crucial for this role, be ready to talk about specific projects where you've used these languages. If possible, bring examples of your work or even a small demo to showcase your coding prowess.
✨Collaborative Spirit
This position involves working with a multidisciplinary team, so highlight your teamwork experiences. Share examples of how you've collaborated with regulators, researchers, or end users to achieve project goals and ensure compliance.
✨Embrace Machine Learning
If you've applied machine learning techniques in your past work, make sure to discuss this during the interview. Talk about how you integrated these methods into traditional hydrological practices and the impact it had on your projects.
