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 a clear career development path.
- Other info: Work with a dynamic team and stay at the forefront of AI advancements.
- Why this job: Make a real-world impact through cutting-edge AI research and technology.
- Qualifications: First-class degree in Maths, Computer Science, or related field; strong Python skills.
The predicted salary is between 70000 - 90000 £ 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.
Artificial Intelligence Researcher 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 Artificial Intelligence Researcher in Glasgow
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like FD Intelligence!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like FD Intelligence.
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We think you need these skills to ace Artificial Intelligence Researcher in Glasgow
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at FD Intelligence, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at FD Intelligence. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at FD Intelligence
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at FD Intelligence!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
