Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Support research projects and develop innovative AI solutions.
- Company: Leading UK university with a focus on research and technology.
- Benefits: Full-time role in an engaging environment with growth opportunities.
- Why this job: Join a dynamic team and make a real impact in data science and AI.
- Qualifications: Expertise in AI solutions and proficiency in Python and/or R.
The predicted salary is between 35000 - 45000 £ per year.
A leading UK university is seeking an enthusiastic Data Scientist or AI Engineer for its Jean Golding Institute. The position involves supporting research projects, developing AI solutions, and enhancing the capacities in data science and AI.
The ideal candidate should have expertise in engineering AI solutions, a strong command of Python and/or R, and commit to best practices in software engineering.
This role is full-time and offers an engaging environment for growth in research and technology.
Data Scientist & AI Engineer — Research & ML Solutions employer: University of Bristol
Contact Detail:
University of Bristol Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist & AI Engineer — Research & ML Solutions
✨Tip Number 1
Network like a pro! Reach out to current employees at the university or in similar roles on LinkedIn. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your AI solutions and data science projects. We want to see your Python and R expertise in action, so make it visually appealing and easy to understand.
✨Tip Number 3
Ace the interview! Research common questions for Data Scientist and AI Engineer roles. We should practice articulating our thought process when solving problems, as this will demonstrate our commitment to best practices in software engineering.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace Data Scientist & AI Engineer — Research & ML Solutions
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data science and AI shine through. We want to see how excited you are about the role and the impact you can make at the Jean Golding Institute.
Tailor Your CV: Make sure your CV highlights your experience with Python and R, as well as any relevant projects you've worked on. We love seeing how your skills align with our needs, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of your work in AI solutions and research projects, and how they relate to what we do at StudySmarter.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at the Jean Golding Institute.
How to prepare for a job interview at University of Bristol
✨Know Your Tech Inside Out
Make sure you brush up on your Python and R skills before the interview. Be ready to discuss specific projects where you've engineered AI solutions, as well as any challenges you faced and how you overcame them.
✨Showcase Your Research Experience
Since this role involves supporting research projects, be prepared to talk about your previous research experiences. Highlight any methodologies you used and how they contributed to the success of the project.
✨Emphasise Best Practices
The university values best practices in software engineering, so come armed with examples of how you've implemented these in your past work. Discuss code reviews, testing, and documentation to show you're committed to quality.
✨Engage with Their Vision
Research the Jean Golding Institute and its current projects. Show genuine interest in their work and be ready to discuss how your skills can contribute to their goals. This will demonstrate your enthusiasm for the role and the organisation.