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Data Science Manager
Job in
Milton Keynes, Buckinghamshire, MK10 0BX, England, UK
Listed on 2026-09-02
Listing for:
SVGC Limited
Full Time
position Listed on 2026-09-02
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Science Manager, Data Scientist
Job Description & How to Apply Below
Owing to our continued growth and trusted reputation, we are seeking a skilled Data Science Manager to join our team. This is an exciting opportunity to join an organisation with multiple lines of business (many of which will demand the deployment of a range of AI solutions) and lead and manage a team of Data Scientists to research, develop, deploy and provide support for AI solutions in significant public sector procurement.
The ability to communicate effectively and engage with customers and the wider team is critical.
You will be the primary point of contact for all data science issues across multiple concurrent projects.
This role is for someone who wants to inspire - in return we offer the freedom to turn your ideas into reality. To support this the company operates an Innovation Board programme where proposals, which may not necessarily be associated with current contracts, can be submitted for consideration and company funding.
Your main responsibilities will be to
Have an in-depth knowledge of the management, methods for development, methods for deployment, ML-Operations and procurement of AI solutions in multiple projects and/or solution elements, and specifically:
Understanding and Management of Generative AI and associated technologies and methods
Understanding and Management of Machine Learning and associated technologies and methods
Understanding and Management of General AI techniques, data analytics (e.g. predictive), NLP etc.
Lead (direction) and manage the end-to-end lifecycle for development and deployment of advanced AI, and specifically:
The management of people, process, documentation associated with the development, deployment, maintenance, training and operational management of Machine Learning solutions (MLOps)
The management of people, process, documentation, maintenance and operational management of Generative AI solutions (GenAIOps /LLMOps)
Manage, objectively assess and track Technology Readiness Levels (or the equivalent) knowing how to progress from the Research into Development to integration and operational deployment.
Contribute hands-on input to design, development, testing, analysis, assurance, integration, deployment and support.
Overall quality assurance of all data science activities including working with academic communities and supplier organisations.
Support the business decision making through objective recommendations on the selection of appropriate AI approaches and technologies for a range of technical and operational challenges.
Assess and optimise the scalability, security and maintainability of technical solutions.
Think strategically and commercially with the ability to align technical solutions to business outcomes.
Contribute (from time-to-time) to other operational support activities as required, including the resolution and/or management of operational support tickets. These may or may not include AI-based elements.
Define and deliver where required, technical standards, best practices and coding standards for AI, including the requirement for ethical AI and take the lead for the development of Algorithmic Transparency Recording Standard (ATRS) submissions to the UK Government.
Conduct technical reviews and assure the quality of AI models and software developed by the data science team and 3rd party contractors.
Identify opportunities to help clients solve problems using appropriate Data Science techniques. This will include providing guidance and assistance where required to other lines of business so that corporate AI capability is advanced.
Support workshops, discovery activities and requirements gathering.
Be adept with both Predictive Analytics environments as well as ML Classifiers.
Develop solutions for, and in deploying on, public and private cloud technologies, particularly Azure or AWS.
Manipulate, process, and extract value from large, disconnected datasets using appropriate tools,
Conceive, establish, manage, and maintain client-centred relationships with the Data Science team, colleagues and clients.
Build a network of contacts and share knowledge for mutual benefit.
Essential Criteria
Currently hold Security Checked (SC) or be eligible and…
Additional Information / Benefits
Bonus, Healthcare, 28 days holiday
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