Hybrid Research Data Scientist: AI, Data & Impact in Exeter

Hybrid Research Data Scientist: AI, Data & Impact in Exeter

Exeter Full-Time 55000 - 70000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and apply computational methods to extract knowledge from data for real-world challenges.
  • Company: Join the University of Exeter's innovative Research Software and Analytics Group.
  • Benefits: Flexible working, competitive salary, and opportunities for professional development.
  • Other info: Dynamic team atmosphere with opportunities to tackle ethical and reproducible research challenges.
  • Why this job: Make a real impact using AI and data science in a collaborative research environment.
  • Qualifications: Expertise in data science and AI with a proven track record in collaborative research.

The predicted salary is between 55000 - 70000 £ per year.

The University of Exeter Research Software and Analytics Group is seeking a talented Research Data Scientist to join a growing team of researchers and engineers. You will design and apply computational approaches to extract knowledge from data, contributing to real-world challenges across the university with ethical, reproducible methods.

Successful candidates will bring data science and AI expertise, a track record in collaborative research, and the ability to multi-task across concurrent projects.

Hybrid Research Data Scientist: AI, Data & Impact 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.

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Contact Details:

Eurobioimaging Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Hybrid Research Data Scientist: AI, Data & Impact 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 Eurobioimaging!

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 Hybrid Research Data Scientist: AI, Data & Impact at Eurobioimaging.

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 Eurobioimaging.

Apply Directly through Our Website

When you find a suitable opening like Hybrid Research Data Scientist: AI, Data & Impact at Eurobioimaging, 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 Hybrid Research Data Scientist: AI, Data & Impact in Exeter

Python
Communication Skills
Problem-Solving Skills
SQL
Automation
Data Engineering
Data Pipeline Development

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 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!

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 Eurobioimaging!

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.