Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a team to develop AI solutions for real-world problems in automation and document intelligence.
- Company: Fast-paced automation intelligence company focused on cutting-edge AI research and development.
- Benefits: Competitive salary, hybrid work options, and excellent career development opportunities.
- Why this job: Work on groundbreaking AI projects that make a real impact while collaborating with innovative minds.
- Qualifications: First-class degree in Mathematics or Computer Science; proficiency in Python and machine learning frameworks.
- Other info: Opportunity to explore advanced AI techniques and contribute to meaningful projects.
The predicted salary is between 28800 - 48000 £ per year.
Graduate/Junior Data Scientist (AI)
Central Belt Scotland, Hybrid
Excellent opportunity to work with a fast paced automation intelligence company.
Junior / Graduate Data Scientist – Artificial Intelligence
Location: [Specify Location or Remote]
Salary: Competitive + Benefits
About the Role
We are seeking a bright and driven Junior / Graduate Data Scientist to join a forward-thinking AI research and development team. This is a rare opportunity to apply advanced mathematics, data science, and artificial intelligence to solve complex real-world problems in automation, document intelligence, and information retrieval.
You’ll work on projects at the cutting edge of AI, from natural language processing (NLP) and computer vision to Retrieval-Augmented Generation (RAG) and explainable AI. You’ll be part of a collaborative environment where mathematical rigour meets practical innovation, building systems that make a measurable difference.
What You’ll Do
-
Research & Develop AI/ML solutions for document intelligence, information retrieval, and automation.
-
Build and enhance NLP and computer vision systems to extract, classify, and structure data from unstructured documents.
-
Work with RAG architectures, implementing advanced document chunking, GraphRAG, and ScaNN to boost retrieval precision.
-
Deploy AI-powered bots and web applications on cloud platforms (e.g., Microsoft Azure).
-
Develop systems that integrate AI models seamlessly with enterprise data, enabling domain-specific applications.
-
Explore explainable AI techniques to make complex models transparent and trustworthy.
-
Keep up with the latest AI research and translate cutting-edge findings into production-ready solutions.
What We’re Looking For
Essential
-
First-class degree in Mathematics, Computer Science, Artificial Intelligence, _ ideally a Masters
-
Strong mathematical foundation, especially in algebra, number theory, and statistics.
-
Proficiency in Python and familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow).
-
Understanding of NLP, computer vision, and retrieval methods.
-
Ability to turn theory into practical, deployable systems.
Desirable
-
Experience with Microsoft Azure or other cloud platforms.
-
Knowledge of vector search, RAG pipelines, and document chunking strategies.
-
Familiarity with advanced search techniques such as anisotropic vector quantisation.
-
Interest in explainable AI and model interpretability.
Why Join Us?
-
Work on groundbreaking AI projects with real-world impact.
-
Be part of a research-led, innovation-driven team.
-
Gain hands-on experience with state-of-the‑art tools and techniques.
-
Enjoy excellent career development opportunities in AI/ML.
#J-18808-Ljbffr
Junior/Graduate Data Scientist (AI) employer: Net Talent
Contact Detail:
Net Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior/Graduate Data Scientist (AI)
✨Tip Number 1
Familiarise yourself with the latest advancements in AI, particularly in NLP and computer vision. Follow relevant research papers and industry news to discuss these topics during your interview, showcasing your passion and knowledge.
✨Tip Number 2
Engage with online communities and forums related to data science and AI. Participating in discussions or contributing to open-source projects can help you build a network and demonstrate your commitment to the field.
✨Tip Number 3
Prepare to discuss practical applications of your skills. Think of specific examples where you've applied mathematical concepts or programming in Python to solve problems, as this will highlight your ability to turn theory into practice.
✨Tip Number 4
If you have experience with cloud platforms like Microsoft Azure, be ready to talk about it. Highlight any projects where you've deployed AI solutions on the cloud, as this aligns well with the role's requirements.
We think you need these skills to ace Junior/Graduate Data Scientist (AI)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the job description. Emphasise your mathematical foundation, programming skills in Python, and any experience with AI/ML frameworks.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and data science. Mention specific projects or experiences that demonstrate your ability to apply theoretical knowledge in practical settings, especially in areas like NLP and computer vision.
Showcase Relevant Projects: If you have worked on any projects related to AI, machine learning, or data science, include them in your application. Describe your role, the technologies used, and the impact of the project to illustrate your hands-on experience.
Highlight Continuous Learning: Mention any courses, certifications, or workshops you have completed that are relevant to AI and data science. This shows your commitment to staying updated with the latest advancements in the field.
How to prepare for a job interview at Net Talent
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and any machine learning frameworks you’ve used, like PyTorch or TensorFlow. Bring examples of projects where you've applied these skills, especially in NLP or computer vision.
✨Demonstrate Your Mathematical Knowledge
Since a strong mathematical foundation is essential for this role, brush up on key concepts in algebra, number theory, and statistics. Be ready to explain how you've applied these concepts in practical scenarios.
✨Familiarise Yourself with AI Trends
Stay updated on the latest advancements in AI, particularly in areas like explainable AI and retrieval-augmented generation. Being able to discuss recent research and its implications can set you apart from other candidates.
✨Prepare Questions About the Role
Think of insightful questions to ask about the team’s projects and the technologies they use. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
