Principal Data Science and Machine Learning Researcher

• Up to £80k DoE plus package
• Gloucester location – circa 3 days on site
• Active SC and eDV eligibility required
• Senior technical leadership role with strategic influence across multiple R&D programmes

Our client is a highly specialised technology organisation operating in a secure, mission‑focused environment within the National Security sector. They operate a small, well‑funded research group embedded in a rapidly expanding area of the business, with a strong focus on innovation and customer‑driven R&D. As part of continued growth, they are seeking an experienced Principal Data Science & Machine Learning Researcher to provide leadership and strategic direction.

• Tiered clearance bonus
• Leadership role in a growing, well‑funded R&D function
• Opportunity to shape strategy and future research direction
• Work on high‑impact, technically challenging problems
• Hybrid/flexible working dependent on project needs

In this role, you will act as a technical and strategic leader across multiple data science and machine learning research initiatives. You will act as a first point of contact for external stakeholders, guide project selection and direction, and provide leadership across the team. Alongside hands‑on technical input where required, you will mentor others and help shape the long‑term research roadmap.

• Extensive experience in data science and machine learning R&D
• Proven ability to lead complex technical projects or portfolios
• Strong stakeholder and customer engagement experience
• Strategic mindset with the ability to guide research direction
• Active SC clearance and eDV eligibility

Please either apply through this advert or email me directly via henry. For further information, please call me on  By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.

Principal Data Scientist, Machine Learning, Research and Development, R&D Leadership, Strategy, Customer Engagement, Algorithms, Secure Environments