At a Glance
- Tasks: Use cutting-edge data science to tackle real-world challenges in research.
- Company: Join a leading university committed to sustainability and social justice.
- Benefits: Generous holiday, flexible working, competitive pension, and health support.
- Other info: Hybrid working options and a supportive, inclusive environment.
- Why this job: Make a meaningful impact while collaborating with diverse researchers.
- Qualifications: Experience in data science and ability to manage multiple projects.
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.
Benefits & Perks
- Generous holiday allowances
- Flexible working
- Pension scheme
- Relocation package (if applicable)
- 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
Responsibilities
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.
Further Information
Please contact Dr Craig Willis, Senior Research Data Scientist (C.Willis2@exeter.ac.uk).
About Us
Transform Your Career and Help Shape a Greener, Healthier, and Fairer Future. 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. You can read more about our current accreditations and commitment to Equality, Diversity and Inclusion here, including our commitment to the Armed Forces Covenant.
Why our colleagues love working here
Flexible working opportunities and leading parental leave initiatives. 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 here how this is managed during our recruitment and onboarding process.
Research Data Scientist in Exeter employer: PVH (Tommy Hilfiger/Calvin Klein)
Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.
Contact Details:
PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Research Data Scientist in Exeter
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like PVH (Tommy Hilfiger/Calvin Klein)!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Research Data Scientist at PVH (Tommy Hilfiger/Calvin Klein).
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like PVH (Tommy Hilfiger/Calvin Klein).
✨Apply Directly through Our Website
When you find a suitable opening like Research Data Scientist at PVH (Tommy Hilfiger/Calvin Klein), make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at PVH (Tommy Hilfiger/Calvin Klein), 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 PVH (Tommy Hilfiger/Calvin Klein). 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 PVH (Tommy Hilfiger/Calvin Klein)
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at PVH (Tommy Hilfiger/Calvin Klein)!
✨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.
