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For Companies At a Glance
- Tasks: Deliver high-impact AI and data science projects for businesses across Scotland.
- Company: Join Scotland’s leading innovation centre for data and AI.
- Benefits: Competitive salary, hybrid working options, and opportunities for professional growth.
- Why this job: Make a real difference by solving operational problems with cutting-edge AI solutions.
- Qualifications: Experience in data science and AI project delivery.
- Other info: Collaborative environment with a focus on skill development and community engagement.
The predicted salary is between 50253 - 61759 £ per year.
Grade UE08: £50,253 - £61,759 per annum. College of Science and Engineering / The Data Lab. Full-time: 35 hours per week. Fixed-term: to 31 July 2027.
The Opportunity
The Applied AI & Data Scientist will be in charge of delivering high‑impact applied data science and AI projects for businesses all throughout Scotland. Their main job will be to turn real‑world operational problems into useful, deployable solutions. The role will help to develop, create, and implement data pipelines, analytics tools, and AI solutions, including modern generative AI, retrieval‑RAG, and agent‑based techniques deployed in a number of short, targeted projects.
Data Lab is Scotland’s innovation centre for data and AI, founded in 2014 as part of the Innovation Centres programme. It operates hubs in Edinburgh, Glasgow, Aberdeen and Inverness, fostering collaboration, building skills, and championing the Scottish data science community.
This position is full‑time (35 hours per week). Hybrid working arrangements may be considered on a non‑contractual basis, combining remote and campus work.
14091 - Applied AI & Data Scientist employer: University of Edinburgh
Contact Detail:
University of Edinburgh Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 14091 - Applied AI & Data Scientist
✨Tip Number 1
Network like a pro! Reach out to folks in the data science and AI community, especially those connected to The Data Lab. Attend events, webinars, or meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and AI solutions. This will give potential employers a taste of what you can do and how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've turned operational challenges into deployable solutions in past projects.
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to contribute to high-impact projects. Make sure your application stands out by tailoring it to the role and highlighting your relevant experience.
We think you need these skills to ace 14091 - Applied AI & Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Applied AI & Data Scientist role. Highlight relevant experience and skills that align with the job description, especially in data pipelines and AI solutions.
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 how you can contribute to high-impact projects at The Data Lab. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional or academic setting, make sure to mention them. We love seeing practical examples of how you've tackled real-world problems with data.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at StudySmarter.
How to prepare for a job interview at University of Edinburgh
✨Know Your Data Science Stuff
Make sure you brush up on your data science and AI knowledge. Be ready to discuss specific projects you've worked on, especially those involving data pipelines and analytics tools. The interviewers will want to see how you can turn real-world problems into deployable solutions.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex operational issues in the past. Think about the methodologies you used and the impact your solutions had. This role is all about delivering high-impact projects, so demonstrating your problem-solving prowess is key.
✨Familiarise Yourself with Generative AI
Since the job involves modern generative AI techniques, make sure you understand the latest trends and applications in this area. Be ready to discuss how you would implement these techniques in practical scenarios, as this could set you apart from other candidates.
✨Understand the Data Lab's Mission
Research the Data Lab and its role in Scotland’s data science community. Knowing their goals and recent projects will help you align your answers with their mission. It shows that you're genuinely interested in the position and ready to contribute to their initiatives.