Data Scientist
Net Talent Partners
- Glasgow, Scotland, United Kingdom
- Glasgow, Scotland, United Kingdom
À propos
Artificial Intelligence & Data Science
Reports to:
Lead AI Scientist
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.
Skills & Qualifications
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.
What’s on Offer
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 .
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Compétences linguistiques
- English
Avis aux utilisateurs
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