Important To be considered, you must already hold valid SC clearance.
Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.
Contract Opportunity: Senior AI Data Scientist
Hybrid: 1 day per week into Glasgow office
Rate: Up to £750/day (Inside IR35)
Contract Length: initial contract until 29/03/2026
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’ll 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