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- Tasks: Join a dynamic team to tackle exciting data science and AI projects at the University of Bristol.
- Company: Be part of the Jean Golding Institute, a hub for innovation in data science and AI.
- Benefits: Full-time role with opportunities for professional growth and collaboration.
- Why this job: Make a real impact by contributing to cutting-edge research and technology.
- Qualifications: Experience in AI solutions and data science techniques, with strong Python or R skills.
- Other info: Engage in diverse projects and network with researchers across the university.
The predicted salary is between 30000 - 50000 £ per year.
Overview
Role: Data Scientist or AI Engineer at University of Bristol. The Jean Golding Institute is the central hub for data science and AI at the University of Bristol. We are looking for an enthusiastic Data Scientist with AI or other data science expertise to join the seven-member Research Engineering Team at the Institute. The team provides in-depth technical support in data science, artificial intelligence (AI) and research software engineering to research projects across the University.
What you will be doing
- Members are assigned to multiple long- and short-term research projects from across the University. Typically, time is split with about 50% on one long-term project and the remainder on other activities or short-term projects.
- Contribute to Institute activities to grow data science, AI and research software engineering capacity, including day-to-day helpdesk queries, training for researchers (best practices in data science, AI and software engineering), and organizing internal events (seminars, workshops, interest groups, data competitions, hackathons and outreach).
- Network with researchers to develop funding bids and support from the Institute.
What you should apply if
- Experience, preferably in a team environment, of engineering AI solutions to problems (especially neural networks or large language models) and/or applying data science techniques (such as Bayesian or similar statistical modelling).
- Comfort collaborating with researchers outside your own area of expertise and able to recommend and implement technical solutions in those areas. Ability to communicate advantages and disadvantages of techniques/tools and agree a suitable approach for each project.
- Fluency in Python and/or R, with demonstrable use of other programming languages for research or an interest in learning new languages.
- Experience applying best practices in software engineering, such as version control, testing and documentation, and the ability to embed those practices within projects.
- Willingness to work on a wide range of projects as dictated by the needs of researchers at the University.
Additional information
- Work pattern: Full time
- Grade: J
- School/Unit: Institutes
- Advert close: This advert will close at 23:59 UK time on Sunday 7th September.
- For informal queries about the role, contact James Thomas, Senior Data Scientist on j.thomas@bristol.ac.uk or 0117 455 6206.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Higher Education and Data Infrastructure and Analytics
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Data Scientist or AI Engineer employer: University of Bristol
Contact Detail:
University of Bristol Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist or AI Engineer
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the University of Bristol, especially those in the Jean Golding Institute. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially any AI solutions you've engineered. We love seeing real-world applications of your expertise!
✨Tip Number 3
Get involved in relevant events! Attend workshops, seminars, or hackathons related to data science and AI. It’s a great way to meet people in the field and demonstrate your enthusiasm for the subject.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who fit our vibe!
We think you need these skills to ace Data Scientist or AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with AI solutions, data science techniques, and any relevant projects you've worked on. We want to see how you fit into our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and AI, and how your background makes you a great fit for the Jean Golding Institute. Let us know what excites you about the role!
Showcase Your Technical Skills: Be sure to mention your fluency in Python and/or R, along with any other programming languages you know. If you've applied best practices in software engineering, like version control or testing, make that clear. We love seeing those skills in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at University of Bristol
✨Know Your Data Science Fundamentals
Brush up on your data science and AI fundamentals, especially around neural networks and statistical modelling techniques. Be ready to discuss how you've applied these concepts in past projects, as this will show your practical understanding and expertise.
✨Showcase Your Collaboration Skills
Since the role involves working with researchers from various fields, prepare examples of how you've successfully collaborated in a team environment. Highlight your ability to communicate complex technical solutions in an accessible way, which is crucial for this position.
✨Demonstrate Your Programming Proficiency
Be prepared to discuss your experience with Python and R, as well as any other programming languages you've used. Consider sharing specific projects where you implemented best practices in software engineering, like version control and testing, to showcase your technical skills.
✨Engage with the Institute's Mission
Familiarise yourself with the Jean Golding Institute's activities and goals. Think about how you can contribute to their mission of growing data science and AI capacity. Showing genuine interest in their work will set you apart and demonstrate your enthusiasm for the role.
