At a Glance
- Tasks: Design and develop innovative AI solutions that transform industries.
- Company: Join a leading AI-driven company in Glasgow with a collaborative culture.
- Benefits: Competitive salary, benefits, and clear career development opportunities.
- Other info: Dynamic environment with exposure to the latest AI tools and techniques.
- Why this job: Make a real impact on transformative AI projects and work with cutting-edge technology.
- Qualifications: First-class degree in Maths, Computer Science, or related field; strong Python skills.
The predicted salary is between 28000 - 38000 £ per year.
Location: Glasgow
Department: Artificial Intelligence & Data Science
Reports to: Lead AI Scientist
FD Intelligence (FDI) is at the forefront of AI-driven automation, delivering advanced solutions that transform how accountancy, finance, and professional services firms operate. Our mission is to blend mathematical rigour with practical AI innovation, enabling businesses to work smarter, faster, and with greater accuracy.
Role Overview
As an AI Graduate Scientist at FD Intelligence, you will design, develop, and deploy cutting-edge AI solutions that push the boundaries of automation and document intelligence. You’ll work alongside a multidisciplinary team of mathematicians, engineers, and domain experts, applying state-of-the-art techniques in natural language processing (NLP), computer vision, and machine learning to solve complex, real-world problems. This role is ideal for someone with a strong mathematical background, a passion for AI research, and a drive to deliver tangible business impact through innovative technology.
Key Responsibilities
- Research & Development: Investigate and implement advanced AI/ML algorithms, focusing on document intelligence, information retrieval, and data processing automation.
- Product Innovation: Contribute to the development of FDI’s flagship document intelligence platform, leveraging NLP and computer vision to extract, classify, and structure data from complex, unstructured forms.
- Retrieval-Augmented Generation (RAG): Architect and implement intelligent retrieval systems, exploring advanced techniques such as GraphRAG and Google ScaNN for improved precision and contextual relevance.
- 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 seamlessly integrate AI models with enterprise data sources, enabling domain-specific AI interactions.
- Explainable AI: Research and apply model interpretability techniques to make complex AI systems transparent, reliable, and business-ready.
- Continuous Learning: Stay abreast of cutting-edge AI research, regularly evaluating and implementing promising new methods.
Skills & Qualifications
- First-class degree (or equivalent) in Mathematics, Computer Science, Artificial Intelligence, or related discipline.
- Strong mathematical foundation, particularly in algebra, number theory, and statistics.
- Proficiency in Python and experience with major AI/ML frameworks (e.g., PyTorch, TensorFlow).
- Understanding of NLP, computer vision, and information retrieval techniques.
- Ability to translate theoretical models into practical, deployable solutions.
- Experience with cloud platforms, preferably Microsoft Azure.
- Knowledge of vector search, RAG pipelines, and document chunking strategies.
- Familiarity with anisotropic vector quantisation or advanced similarity search techniques.
- Experience deploying AI applications in enterprise environments.
- Interest in explainable AI and model interpretability.
What We Offer
- Opportunity to work on transformative AI projects with real-world impact.
- Collaborative, research-driven culture that values both innovation and rigour.
- Exposure to cutting-edge tools, techniques, and publications in AI/ML.
- Competitive salary and benefits package.
- Clear career development path into senior research or engineering roles.
Graduate in Glasgow employer: FD Intelligence
FD Intelligence is an exceptional employer for AI Graduates, offering a dynamic work environment in Glasgow where innovation meets collaboration. With a strong focus on employee growth, you will have the opportunity to work on transformative AI projects that make a real-world impact, while benefiting from a competitive salary and a clear career development path into senior roles. Join a research-driven culture that values both mathematical rigour and practical AI solutions, ensuring you stay at the forefront of cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate in Glasgow
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like FD Intelligence when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like FD Intelligence.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like FD Intelligence.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through FD Intelligence’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Graduate in Glasgow
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at FD Intelligence, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at FD Intelligence aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at FD Intelligence
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
