At a Glance
- Tasks: Lead complex statistical analysis to unlock insights from long-term ecological datasets.
- Company: Join a forward-thinking organisation focused on ecological data and environmental impact.
- Benefits: Competitive daily rate, remote work flexibility, and a chance to influence future data collection.
- Other info: Dynamic role with opportunities for professional growth and collaboration with leading institutions.
- Why this job: Make a real difference in ecological monitoring while working with cutting-edge statistical techniques.
- Qualifications: Degree-level education in relevant fields and experience in ecological statistics required.
The predicted salary is between 108000 - 132000 £ per year.
The following information aims to provide potential candidates with a better understanding of the requirements for this role.
- Contract
- Duration: 6 Months
- Daily
Rate: £600/day (Umbrella – Maximum)
IR35 Status: Inside
ESSENTIAL: ecological statistical knowledge
The programme is looking to bring in a Senior Statistician role to help unlock the value of the long-term data sets collected by undertaking rigorous, iterative analysis.
It will support development of a revised monitoring design, a key 2026/27 priority, ensuring that future data collection is efficient, targeted, and statistically robust.
- About The Candidate (specialist skills & requirements):
Key Tasks - Provide statistical leadership for the programme, undertaking complex statistical analysis to help meet its primary objectives.
- Unlock the value of long-term datasets by thorough rigorous, iterative analysis.
- Analysis of complex, multi-pressure ecological datasets, required to identify causal drivers of ecosystem change.
- Develop a revised monitoring design to reduce redundancy and increase statistical power, improving efficiency and ensuring that future data collection is efficient, targeted, and statistically robust.
- Revise the monitoring design to retain as much of the current methodology as possible, to facilitate maximum use of existing data.
- Consult evidence users and partners —including Natural England, Defra, research and academic institutions—to consider their needs during development of the new survey design.
- Knowledge and Skills
- Experience of working in statistical and/or ecological or environmental fields, educated to degree level in a relevant subject or ability to demonstrate equivalent experience (essential).
- A good understanding of experimental/survey design and related statistical analyses; ideally experience in ecological statistics (essential).
- Able to evaluate comparative approaches to statistical analysis and monitoring design, examine implications and make justified and evidenced recommendations (desirable).
- Experience of a range of statistical techniques in R or Python (or SPSS) for examining relationships (including multivariate) between data and for inference, parametric and non-parametric analysis, and quantifying uncertainty (Essential).
- Experience of contributing to relevant scientific literature (including responsibility for statistical analysis) and/or relevant technical reports (desirable)
- Effective written and verbal communication skills, especially in conveying complex information, data, analytical methods, and results to a range of audiences (desirable). xsabvtc
- Manage and deliver your work to meet agreed targets and deadlines (essential).
Reporting publication list
Able to communicate complex information
Ecological data Experience
ESSENTIAL: ecological statistical knowledge
Disability Confident
As a member of the disability confident scheme, CLIENT guarantees to interview all candidates who have a disability and w...
Senior Statistician in Westminster employer: Aspect Resources
At our Abingdon facility, we pride ourselves on being an excellent employer that values technical expertise and fosters a collaborative work culture. With competitive daily rates and a commitment to employee growth through hands-on experience in control and instrumentation systems, we offer a unique opportunity for professionals to thrive in a supportive environment. Our dedication to inclusivity, as demonstrated by our Disability Confident and Armed Forces Covenant commitments, ensures that all employees feel valued and empowered to contribute meaningfully to our projects.
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We think this is how you could land Senior Statistician in Westminster
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We think you need these skills to ace Senior Statistician in Westminster
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Aspect Resources, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
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Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Aspect Resources, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
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How to prepare for a job interview at Aspect Resources
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Aspect Resources.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Aspect Resources.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Aspect Resources.
