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- Tasks: Analyse complex environmental data to influence meaningful decisions and support sustainability.
- Company: Join APEM, a leader in environmental data science with a focus on innovation.
- Benefits: Flexible working arrangements, professional development, and a supportive team culture.
- Why this job: Make a real impact on environmental challenges while developing your analytical skills.
- Qualifications: BSc/MSc in relevant field, strong R programming skills, and experience with complex datasets.
- Other info: Diverse and inclusive team with opportunities for growth and adaptation to individual skills.
The predicted salary is between 36000 - 60000 £ per year.
Are you an experienced statistician or data scientist looking to apply advanced analytics to real-world environmental challenges? Do you enjoy working with complex datasets and seeing your analysis influence meaningful decisions? We’re looking for a Senior Environmental Statistician to join our growing Water Data Science Team within APEM’s Water Science Division. Our team specialises in the collection, analysis and interpretation of environmental monitoring and geospatial data, supporting water and energy utilities and regulators across the UK. This is a technically stretching and impactful role.
You’ll manage and deliver a portfolio of data-intensive projects, applying advanced statistical and machine learning techniques to complex spatio-temporal environmental datasets. Working closely with specialists in ecology, water quality, hydrology and fisheries, you’ll translate analytical outputs into clear, defensible insight that supports regulatory compliance, environmental planning and long-term resilience. Whether your background is in consultancy, academia, research, industry or the public sector, this role offers the opportunity to apply strong analytical expertise within a collaborative, commercially focused environment. You’ll also contribute to the continued development of our analytical capability; improving workflows, supporting junior analysts and helping shape best practice in environmental data science.
What we’re looking for
- A BSc or MSc in a relevant subject, and either a PhD or at least three years’ professional experience in an analytical role involving complex datasets
- Strong proficiency in R programming, MS Excel and version control using GitHub
- Experience analysing and modelling spatio-temporal data using statistical and/or machine learning techniques
- Proven ability to manage and deliver projects to time, budget and quality standards
- Excellent technical report writing skills
- The ability to explain complex statistical concepts clearly to both technical and non-technical audiences
- Strong organisational, analytical and problem-solving skills
- Confidence communicating professionally with clients and colleagues
It’s a bonus if you have:
- Experience working in a commercial consultancy or client-facing environment
- Experience contributing to proposals or research funding applications
- Specialist expertise in Bayesian statistics, time series analysis or machine learning
- Experience with RShiny, geospatial tools (ArcGIS or QGIS), SQL databases or Python
- Awareness of UK environmental policy and regulatory frameworks
- Membership of a relevant professional body
- A valid driving licence
Next steps
We are focused on creating a diverse and inclusive team. If you can’t tick every box on our job description, then we are still keen to hear from you and are open to supporting your development. That may be working part time or supporting you to gain experience in a specific area – we are a growing company and are able to adapt roles to reflect individual skills. If you think you have what it takes to join our fast-growing business, then please apply immediately on our website. All we need is some basic information and your CV; we will review all applications quickly and will respond to all applicants.
About Us
At APEM, we combine technical excellence with flexibility and wellbeing. Our Water Data Science Team is recognised for delivering high-quality, evidence-based solutions to support sustainable environmental management. As part of the APEM Group, we continue to grow and innovate, working across water, energy and environmental sectors to address challenges such as water scarcity, pollution and climate change. Our Ways of Working (WOW) mean we support flexible arrangements that allow our people to perform at their best while maintaining balance.
Environmental Statistician employer: APEM Ltd
Contact Detail:
APEM Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Environmental Statistician
✨Tip Number 1
Network like a pro! Reach out to professionals in the environmental data science field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving complex datasets and statistical techniques. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and being ready to explain your analytical processes. Practice explaining complex concepts in simple terms – it’s a key skill for this role!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re keen to hear from diverse candidates, so don’t hesitate if you don’t tick every box.
We think you need these skills to ace Environmental Statistician
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience and skills that match the job description. We want to see how your background in statistics or data science aligns with the environmental challenges we tackle.
Showcase Your Projects: Include specific examples of projects where you've applied advanced statistical techniques or machine learning. We love seeing how you've managed complex datasets and delivered impactful results!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about environmental data science and how you can contribute to our team. Keep it engaging and relevant to the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the easiest way for us to receive your application, and we promise to review it quickly. We’re excited to hear from you!
How to prepare for a job interview at APEM Ltd
✨Know Your Stats
Brush up on your statistical knowledge, especially around spatio-temporal data and machine learning techniques. Be ready to discuss how you've applied these in past projects, as this will show your practical experience and understanding of the role.
✨Showcase Your Programming Skills
Make sure you’re comfortable discussing your proficiency in R, MS Excel, and GitHub. Prepare examples of how you've used these tools to manage complex datasets and deliver projects successfully. This will demonstrate your technical capabilities.
✨Communicate Clearly
Practice explaining complex statistical concepts in simple terms. You might be asked to present your analysis to non-technical stakeholders, so being able to convey your insights clearly is crucial. Think of examples where you've done this effectively.
✨Understand the Company’s Mission
Familiarise yourself with APEM's work in environmental management and their focus on sustainability. Being able to align your values with theirs and showing genuine interest in their projects can set you apart from other candidates.