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.
- Other info: Ideal for those passionate about research and technology.
- 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 28000 - 38000 £ 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 in England employer: University of Bristol
As a leading UK university, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their fields. The Jean Golding Institute offers exceptional opportunities for professional development, with access to cutting-edge research projects and a supportive environment that encourages creativity and growth in data science and AI. Join us to be part of a vibrant academic community dedicated to making a meaningful impact through technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist & AI Engineer — Research & ML Solutions in England
✨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 is key to demonstrating our engineering skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have additional resources and tips available there to help you stand out from the crowd.
We think you need these skills to ace Data Scientist & AI Engineer — Research & ML Solutions in England
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
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 this will show your practical experience and understanding of the tools.
✨Research the Institute
Dive into the Jean Golding Institute's recent research projects and initiatives. Understanding their work will not only help you tailor your answers but also demonstrate your genuine interest in contributing to their goals.
✨Showcase Best Practices
Be prepared to talk about your commitment to best practices in software engineering. Share examples of how you've implemented these practices in past projects, as this will highlight your professionalism and attention to detail.
✨Engage with Questions
Prepare thoughtful questions to ask during the interview. This could be about their current research challenges or future projects. Engaging with the interviewers shows your enthusiasm and willingness to be part of their team.
