Senior Statistician - Ecological Research (Data analyst)

Project overview

Senior Statistician - Ecological Research (Data analyst)

Contract Length: 6 months

Project details

Fully remote - home-based, no travel required

IR35 Status: Inside IR35

Excellent Rates

*Public Sector Experience and relevant accreditation highly desirable*

*Urgent 6 Month contract - Interviewing and hiring now!*

This is a *UK* Remote based role with an excellent immediate start within a Public Sector organisation working on *Leading and delivering complex statistical analysis to support programme objectives.*

About the Role

We are seeking an experienced Senior Statistician to support a Long-Term Ecosystem Change (LTEC) programme focused on understanding how biodiversity changes over time and identifying the factors responsible.

The programme collects long-term environmental data across 37 sites in England. This evidence helps researchers understand the impact of pressures such as climate change and air pollution on ecosystems, supporting conservation advice, nature recovery and future environmental policy.

The successful candidate will provide statistical leadership, analyse complex ecological datasets and help develop a revised monitoring design for 2026/27. The aim is to improve the efficiency and accuracy of future data collection while making the best possible use of existing data.

This is an opportunity to apply advanced statistical techniques to important environmental research and contribute to evidence-based decisions on biodiversity and ecosystem protection.

Key Responsibilities

Essential Skills and Experience

Please send your CV or call Tahmina to discuss further.

We are an equal opportunities employment agency and welcome applications from all suitably qualified persons regardless of race, sex, disability, religion/belief, sexual orientation, or age.

We champion differences in technology recruitment and work with clients who actively wish to diversify their talent force - ALL applicants are welcome to apply

• Lead and deliver complex statistical analysis to support programme objectives.
• Analyse long-term ecological and environmental datasets to identify relationships between multiple ecosystem pressures and changes in biodiversity.
• Apply appropriate statistical methods to investigate potential drivers of ecosystem change and quantify uncertainty in findings.
• Develop a revised monitoring and survey design to improve statistical power, reduce unnecessary duplication and make data collection more efficient.
• Ensure the revised monitoring approach retains as much of the existing methodology as possible, allowing historical and future datasets to be compared effectively.
• Evaluate different statistical analysis methods and monitoring approaches, making evidence-based recommendations.
• Collaborate with stakeholders, research organisations and academic institutions to understand their evidence requirements.
• Ensure the revised monitoring design meets stakeholder needs while remaining statistically robust and practical.
• Communicate complex statistical methods, findings and recommendations clearly to technical and non-technical audiences.
• Manage analytical work independently and deliver high-quality outputs within agreed deadlines.
• A degree in statistics, ecology, environmental science or another relevant subject, or equivalent practical experience.
• Strong understanding of experimental design, survey design and related statistical analysis.
• Hands-on experience using R, Python or SPSS for statistical analysis.
• Experience applying a range of statistical techniques, including:
• Multivariate analysis to examine relationships between multiple variables.
• Parametric and non-parametric statistical methods.
• Statistical inference and interpretation of results.
• Quantifying uncertainty and assessing the reliability of findings.
• Ability to analyse complex datasets and draw meaningful conclusions from the results.
• Strong organisational skills, with the ability to manage work independently and meet deadlines.
• Start: ASAP
• Duration: 6 months
• Location: United Kingdom, GB