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Team Eden Scott 

Senior AI Data Scientist

  • Glasgow City
  • 750 Annual
  • Contract

Are you a highly skilled AI Data Scientist looking for your next impactful contract? This is an exciting opportunity to join a forward-thinking organisation where you will l lead the development of advanced analytics and machine learning solutions that drive real business value.

What You will Do

  • Design, develop, and deploy machine learning models using Azure ML Studio and Python
  • Translate complex data into actionable insights through Power BI dashboards and compelling storytelling
  • Collaborate across teams to deliver secure, scalable, and responsible AI/ML solutions
  • Monitor model performance, manage drift, and implement retraining strategies
  • Lead the development of AI/ML proof-of-concepts and evaluate their business value

What You will Bring

  • Extensive experience with Python and data science Python packages (e.g. scikit-learn, pandas, numpy, etc). (LEAD)
  • Understanding of data science concepts, AI / ML models, evaluation approaches, and data science applications to enhance business processes. (LEAD)
  • Proven hands-on experience in Microsoft Azure ML Studio. (LEAD)
  • Experience using business intelligence tools, preferably Power BI.
  • Experience applying Generative AI and prompting techniques.
  • Strong understanding of data governance, model observability, and compliance frameworks.
  • Proven ability to deliver secure, scalable, and responsible data science solutions.
  • Excellent communication and presentation skills.
  • Extensive experience working collaboratively with diverse colleagues and stakeholders.

Nice to Have

  • Microsoft Certified: Azure Data Scientist Associate
  • Familiarity with the Microsoft ecosystem (M365, Power Platform, Azure)
  • Awareness of cybersecurity principles

Important To be considered, you must already hold valid SC clearance.

Hybrid: 1 day per week into Glasgow office

Rate: Up to £750/day (Inside IR35)

Contract Length: initial contract until 29/03/2026

Niall Bree
Point of contact
Niall Bree
Divisional Manager
07876 233 246

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