At a Glance
- Tasks: Leverage data science to tackle real-world challenges and support innovative research projects.
- Company: Join the University of Exeter's dynamic Research Software and Analytics Group.
- Benefits: Enjoy flexible working, generous holiday allowances, and a competitive pension scheme.
- Other info: Be part of a diverse team committed to sustainability and social justice.
- Why this job: Make a meaningful impact on research while developing your skills in a supportive environment.
- Qualifications: Expertise in data science and AI, with experience in research collaboration preferred.
The predicted salary is between 43482 - 46049 £ per year.
This full-time post is available from the 1st of September 2026 on a permanent basis. The starting salary will be from £43,482 to £46,049 on Grade F, depending on knowledge, skills and experience. This role offers the opportunity for hybrid working - some time on campus and some from home. We welcome applications from candidates interested in working part-time hours or job-sharing arrangements.
- Generous holiday allowances
- Flexible working
- Pension scheme
- Relocation package (if applicable)
The University of Exeter Research Software and Analytics Group, consisting of Research Software Engineers, Research Data Scientists and Research Data Stewards, supports cutting-edge research across the university, improving reproducibility and bolstering impact. Research Data Scientists make a vital contribution to the university’s research portfolio by leveraging cutting-edge data science approaches to address real world challenges spanning the spectrum of computational and social science.
We are seeking a talented Research Data Scientist to join the team. Every Research Data Scientist in the team is a member of the academic community and collaborates with researchers across the university to design and apply computational approaches to extract knowledge and insight from data, and help solve research problems in an ethical, reliable and reproducible fashion. They are typically simultaneously engaged in several research projects, and thus are expected to multi-task and prioritise their own workload. Given the diverse nature of projects, they are also often required to develop expertise in new areas.
Successful applicants will be talented, versatile professionals with expertise in data science and artificial intelligence, combined with up-to-date skills in data analysis. This experience could have been acquired working in industry or via a PhD degree that required significant use of data science and artificial intelligence tools. Prior experience of contributing to research projects through collaboration with academic researchers is desirable. Experience with FAIR data practices and/or managing and curating research data is also desirable.
You will join a rapidly growing team of dedicated, friendly and enthusiastic technical professionals with a diverse set of interests and backgrounds. We value collaboration, respect and an openness to innovative practises and ways of working. We adopt a flexible, hybrid working style with some home working. Every member of the team is part of the academic community and collaborates with researchers across the university to further the impact of Exeter research.
Please ensure you read the Job Description and Person Specification for full details of this role.
We are committed to understanding different cultures and perspectives, supporting diverse leadership, and striving for social justice. We encourage applications from all groups underrepresented in our community, including racially minoritised individuals and those with disabilities. Our inclusive, merit based recruitment processes seek to embrace a diverse set of experiences to ensure colleagues feel supported equitably. With over 30,000 students and 7,000 staff from 150 countries, we foster a culture where everyone can thrive.
Why our colleagues love working here:
- Flexible working opportunities and leading parental leave initiatives
- Generous annual leave (39-41 days including bank holidays)
- Competitive pension contributions
- A genuine dedication to supporting the health and wellbeing of all colleagues
- Sustainability and the environment being at the heart of what we do
If you’re considering applying and need support to do so, please get in touch with us at hrhelpdesk@exeter.ac.uk. You can request reasonable adjustments within your application or by contacting us. You can also choose to be considered under our Disability Confident Scheme and find out how this is managed during our recruitment and onboarding process.
Research Data Scientist in Exeter employer: Eurobioimaging
Join a dynamic team at the forefront of ecological research, where your contributions as a Research Technician will directly impact our understanding of wildlife interactions with vehicle headlights. Located in a collaborative and innovative environment, we offer opportunities for professional growth, access to cutting-edge technology, and a commitment to fostering a supportive work culture that values teamwork and scientific inquiry.
StudySmarter Expert Advice🤫
We think this is how you could land Research Data Scientist in Exeter
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We think you need these skills to ace Research Data Scientist in Exeter
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Eurobioimaging, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Eurobioimaging. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Eurobioimaging
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
