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- Tasks: Design and deploy innovative AI solutions that transform business operations.
- Company: Leading organisation in AI-driven automation with a focus on collaboration.
- Benefits: Competitive salary, benefits, and a clear career path into senior roles.
- Why this job: Work on high-impact projects and push the boundaries of AI technology.
- Qualifications: First-class degree in Mathematics or related field and proficiency in Python.
- Other info: Join a research-driven culture with exposure to cutting-edge AI tools.
The predicted salary is between 28800 - 48000 £ per year.
This organisation is at the forefront of AI-driven automation, building advanced solutions that transform how accountancy, finance, and professional services firms operate. The focus is on combining mathematical rigour with practical AI innovation to deliver technology that enables businesses to work smarter, faster, and with greater accuracy.
As an AI Graduate Scientist, you will design, develop, and deploy cutting-edge AI solutions that push the boundaries of automation and document intelligence. You’ll work closely with a multidisciplinary team of mathematicians, engineers, and domain experts, applying modern techniques in NLP, computer vision, and machine learning to solve complex, real-world problems. This role is ideal for someone with a strong mathematical foundation, a passion for AI research, and a desire to see their work deliver real business impact.
Key Responsibilities- Research & Development: Investigate and implement advanced AI/ML algorithms, with a focus on document intelligence, information retrieval, and data automation.
- Product Innovation: Contribute to the development of a document intelligence platform using NLP and computer vision to extract, classify, and structure data from complex, unstructured sources.
- Retrieval-Augmented Generation (RAG): Design and implement intelligent retrieval systems, exploring approaches such as GraphRAG and Google ScaNN to improve contextual accuracy.
- Full-Stack AI Deployment: Build, test, and deploy AI-powered bots and web applications on Microsoft Azure, ensuring scalability, security, and performance.
- Enterprise AI Integration: Develop Model Context Protocol (MCP) systems to integrate AI models with enterprise data sources for domain-specific AI interactions.
- Explainable AI: Research and apply model interpretability techniques to ensure AI systems are transparent, reliable, and business-ready.
- Continuous Learning: Stay up to date with cutting-edge AI research and evaluate new methods for practical application.
- First-class degree (or equivalent) in Mathematics, Computer Science, Artificial Intelligence, or a related discipline.
- Strong mathematical grounding, particularly in algebra, number theory, and statistics.
- Proficiency in Python and experience with major ML frameworks such as PyTorch or TensorFlow.
- Solid understanding of NLP, computer vision, and information retrieval.
- Ability to translate theoretical models into practical, deployable solutions.
- Experience with cloud platforms, ideally Microsoft Azure.
- Knowledge of vector search, RAG pipelines, and document chunking strategies.
- Familiarity with advanced similarity search or vector quantisation techniques.
- Experience deploying AI applications in enterprise environments.
- Interest in explainable AI and model interpretability.
- The opportunity to work on high-impact AI projects solving real business problems.
- A collaborative, research-driven culture that values both innovation and rigour.
- Exposure to cutting-edge AI tools, techniques, and research.
- Competitive salary and benefits.
- A clear career path into senior research or engineering roles.
Data Scientist in Glasgow employer: Net Talent Partners
Contact Detail:
Net Talent Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Glasgow
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and data science fields on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving NLP, computer vision, or machine learning. Use platforms like GitHub to share your code and document your thought process. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around algorithms and deployment strategies. Practice common interview questions related to AI and data science, and don’t forget to have a few questions ready for them too. It shows you’re genuinely interested!
✨Tip Number 4
Apply through our website! We’ve got some fantastic opportunities waiting for you. Tailor your application to highlight your mathematical foundation and passion for AI research. Let’s get you on board to work on high-impact projects together!
We think you need these skills to ace Data Scientist in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your mathematical foundation and any relevant projects in AI, NLP, or machine learning to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Share specific examples of your work that demonstrate your problem-solving skills and innovative thinking.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and any experience with ML frameworks like PyTorch or TensorFlow. We love seeing candidates who can translate theory into practice, so include any relevant projects or deployments you've worked on.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Net Talent Partners
✨Know Your Maths Inside Out
Since this role requires a strong mathematical foundation, brush up on your algebra, number theory, and statistics. Be ready to discuss how you've applied these concepts in real-world scenarios, as it shows you can translate theory into practice.
✨Showcase Your AI Passion
Demonstrate your enthusiasm for AI research by discussing recent advancements or projects you've worked on. Mention specific techniques in NLP, computer vision, or machine learning that excite you, and how you envision applying them in the role.
✨Familiarise Yourself with Tools and Frameworks
Make sure you're comfortable with Python and major ML frameworks like PyTorch or TensorFlow. Prepare to talk about any projects where you've used these tools, especially in deploying AI applications on cloud platforms like Microsoft Azure.
✨Prepare for Technical Questions
Expect technical questions related to document intelligence and retrieval-augmented generation. Brush up on concepts like vector search and model interpretability, and be ready to explain how you would approach solving complex problems using these methods.
