Research Associate Data Scientist

Research Associate Data Scientist

Full-Time 26000 - 29000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a team to analyse biodiversity data and develop innovative solutions.
  • Company: UKCEH is a leading research institute focused on ecology and hydrology.
  • Benefits: Enjoy 27 days annual leave, flexible working, and wellness perks.
  • Why this job: Make a real impact on environmental science while collaborating with experts across Europe.
  • Qualifications: A degree in environmental sciences or relevant experience; knowledge of R/Python is a plus.
  • Other info: Inclusive workplace encouraging applications from diverse backgrounds.

The predicted salary is between 26000 - 29000 £ per year.

Salary - £30,684-£32,563 Hybrid working (50/50) Permanent Wallingford (Oxfordshire) based. We reserve the right to close this advert early if we find the right candidate, so we encourage you to apply early.

Join the UK Centre for Ecology & Hydrology (UKCEH). We are seeking an enthusiastic and innovative Research Associate Data Scientist to join the Biodiversity Monitoring and Analysis Group within the Biodiversity and Land Use Science Area, at Wallingford.

The successful candidate will have experience in quantitative and computational methods, and a keen interest in the natural environment and data science. In this role you will be working to collate and analyse data collected by professional and citizen scientists and helping to develop new systems to collect, analyse and curate biodiversity data. This is a fantastic opportunity to gain experience in a range of projects that intersect ecological research and data science developments, including collaborating with researchers across Europe.

You will join a team of scientists that uses national datasets, data science methods, and AI-assisted hardware, to develop approaches to understand and model the impacts of environmental change on biodiversity, ecosystems and the services they provide.

As a Research Associate at UKCEH, you’ll be supported with a three-year training plan at the start of your career. As well as on-the-job training and self-guided learning, you’ll have access to traditional learning, such as online and in-person courses. Training allocations are up to 15% in year one and two, and up to 10% in year three. Training will cover:

  • FAIR data management and Open Science.
  • Version control, collaborative coding, unit testing, and R-package development.
  • The use of high-performance computing (HPC) to support large scale analyses.
  • The application of computer vision methods to biodiversity research.

Your main responsibilities will include:

  • Innovate & code: Build and refine model code, data science tools, software, and hardware solutions for projects.
  • Prepare formatted data or figures for reports and publications.
  • Undertake directed data collation or analysis, preliminary research and development, or laboratory analysis, to produce various outputs for the wider project team.

Additional Responsibilities:

  • Deliver scientific outputs: Drive the development of high-quality project reports, publications, and innovative methods.
  • Problem-solve collaboratively: Actively suggest during team meetings.
  • Contribute ideas and written content to funding proposals.
  • Communicate science: share findings and present at internal & external meetings.
  • Lead analysis: Propose and explain analytical strategies in meetings to advance project outcomes.
  • Manage deliverables: Oversee project components, demonstrating budget awareness and delivering value to funders.
  • Publish & curate: Act as lead author for datasets, model code, software, or digital assets—ensuring quality assurance and repository submission.

As a Research Associate Data Scientist, we’re looking for somebody who has:

  • Graduate/Post-graduate (Masters) or equivalent qualification or sufficient relevant experience.
  • A degree in the environmental sciences, or other experience that demonstrates an interest in the natural world.
  • A basic understanding and experience of R and/or Python.
  • Effective communicator to a range of audiences.
  • Time management skills and attention to details.
  • Work within agreed parameters to meet the responsibilities of your role.
  • Able to identify key stakeholders/funders.

You’ll be joining a leading independent, not-for-profit research institute that’s committed to recruiting talented people like you, progressing your career and giving you the support you need to thrive at UKCEH. Our science makes a real difference, enabling people and the environment to prosper, and enriching society. We are the custodians of a wealth of environmental data, collected by UKCEH and its predecessors over the course of more than 60 years.

Working for UKCEH is rewarding. We appreciate the continuous dedication and contributions of our staff, which is why we provide a comprehensive benefits package that includes financial incentives and wellbeing-oriented perks, such as:

  • 27 days annual leave (rising to 29 days after 5 years’ service) plus 3 days for Christmas closure.
  • 10% employer pension contribution.
  • Flexible and hybrid working arrangements (role dependant).
  • Peer reward and recognition scheme.
  • Dental insurance, gym/fitness discounts, retail discount portal.
  • Enhanced maternity and paternity leave.
  • 24-hour, 365-day support with physical, mental, social, health or financial issues and much more.

Apply today! If this opportunity resonates with you and aligns with your personal career goals, the team would love to receive your application. Please apply by submitting your CV along with a covering letter that highlights any qualifications, skills or experience you believe are relevant to this role.

At UKCEH, we are committed to fostering an inclusive and equitable workplace where everyone—regardless of background, identity, ability, or circumstance—has the opportunity to thrive. As a Disability Confident employer, we actively encourage applications from neurodivergent candidates and those with disabilities. We are happy to provide any adjustments or support you may need throughout the application process—please don’t hesitate to reach out. So, if you’re excited about this role but your experience doesn’t align perfectly with every requirement, we’d love to hear from you anyway. You may be just the right fit for this role or another within our wider team.

We welcome applications from international candidates; however, at present, we are unable to provide visa sponsorship for this role.

Research Associate Data Scientist employer: UK CENTER FOR ECOLOGY & HYDROLOGY

At the UK Centre for Ecology & Hydrology, we pride ourselves on being an excellent employer that values innovation and collaboration in the field of environmental science. Our supportive work culture fosters professional growth through a comprehensive training plan, flexible working arrangements, and a commitment to employee wellbeing, making Wallingford an ideal location for those passionate about biodiversity and data science. Join us to make a meaningful impact while enjoying generous benefits and a vibrant team atmosphere.
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Contact Detail:

UK CENTER FOR ECOLOGY & HYDROLOGY Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Associate Data Scientist

✨Tip Number 1

Familiarise yourself with the latest trends in biodiversity data science. Understanding current methodologies and technologies used in the field will not only enhance your knowledge but also demonstrate your genuine interest during interviews.

✨Tip Number 2

Network with professionals in the ecology and data science sectors. Attend relevant conferences, webinars, or local meetups to connect with potential colleagues and mentors who can provide insights into the role and the organisation.

✨Tip Number 3

Engage with UKCEH's work by following their publications and social media channels. This will help you understand their projects and values, allowing you to tailor your discussions and show how your skills align with their mission.

✨Tip Number 4

Prepare to discuss specific examples of your experience with R or Python. Be ready to explain how you've applied these skills in previous projects, as practical knowledge is crucial for this role.

We think you need these skills to ace Research Associate Data Scientist

Quantitative Analysis
Computational Methods
Data Science
R Programming
Python Programming
Data Management
High-Performance Computing (HPC)
Computer Vision Techniques
Scientific Communication
Project Management
Attention to Detail
Time Management
Collaboration Skills
Problem-Solving Skills
Stakeholder Engagement

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data science and environmental sciences. Emphasise any projects or roles where you've used R or Python, as well as your quantitative and computational skills.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the organisation. Mention specific projects or aspects of the job description that excite you, and explain how your background aligns with their needs.

Showcase Your Communication Skills: Since effective communication is key for this role, provide examples in your application of how you've successfully communicated complex data or scientific findings to diverse audiences.

Highlight Collaborative Experience: The job involves working with various stakeholders and team members. Include examples of past collaborative projects, especially those that required problem-solving and innovative thinking.

How to prepare for a job interview at UK CENTER FOR ECOLOGY & HYDROLOGY

✨Show Your Passion for the Environment

Make sure to express your enthusiasm for the natural world and biodiversity during the interview. Share any relevant experiences or projects that highlight your interest in ecology and how data science can contribute to environmental research.

✨Demonstrate Your Technical Skills

Be prepared to discuss your experience with R and Python, as well as any quantitative and computational methods you've used. You might even want to bring examples of your work or projects that showcase your coding abilities and problem-solving skills.

✨Prepare for Collaborative Problem-Solving

Since the role involves working closely with a team, think about examples where you've successfully collaborated on projects. Be ready to discuss how you contribute ideas in team meetings and how you handle feedback or differing opinions.

✨Communicate Clearly and Effectively

As an effective communicator, you'll need to convey complex scientific concepts to various audiences. Practice explaining your past projects or findings in simple terms, and be ready to discuss how you would present your work at internal and external meetings.

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