Lead Data Scientist

Morgan McKinley
London, United Kingdom
Today
£67,000 pa

Salary

£67,000 pa

Job Type
Permanent
Work Pattern
Flexible
Work Location
Hybrid
Seniority
Lead
Education
Degree
Security Clearance
Required
Posted
30 Apr 2026 (Today)

Benefits

30 days holiday Performance bonus Private medical and dental cover Competitive pension scheme
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Location: London - 2 days on siteSalary: Up to 67000 + 30 Days Holiday + Performance BonusSector: Independent National Standards & Research

The Opportunity

They are seeking aLead Data Scientist to join a high-impact Directorate of Data Science and AI at the heart of Great Britain's national infrastructure. This is not a "typical" tech role; you will lead the development of digital products and decision-support tools that directly improve the safety, efficiency, and sustainability of a major national network.

As a senior practitioner, you will bridge the gap between technical delivery and senior leadership. You will be the technical heartbeat of the team - ensuring high-quality modelling practices while mentoring junior colleagues and modernising our AI capabilities.

The Role

  • Technical Leadership: Act as a senior hands-on practitioner, leading the delivery of analytical and ML workstreams.

  • Modernisation: Take an active interest in emerging tools (includingAgentic frameworks andGenerative AI) to strengthen the team's capability.

  • Mentorship: Provide technical guidance, code reviews, and coaching to junior scientists to build a culture of excellence.

  • Operational Excellence: Uphold best practices in coding, documentation, andReproducible Analytical Pipelines (RAP).

  • Collaboration: Work closely with subject matter experts and architects to ensure outputs are robust and ready for real-world operational use.

Your Profile

They are looking for a candidate who valuesrigour as much as innovation. You likely have a background in thePublic Sector, Government (Grade 7 equivalent), or a highly regulated industry.

Essential Experience:

  • End-to-End ML: Proven experience delivering applied data science projects from feature engineering to deployment.

  • Python Mastery: Expert-level Python skills with a focus on code structure, testing, and version control.

  • Governance: A deep commitment to reproducibility, model assurance, and secure data workflows.

  • Agile Delivery: Experience working in iterative, sprint-based environments.

  • Communication: The ability to tell a story with data to both technical and non-technical stakeholders.

Desirable:

  • Experience deploying models withinAzure cloud environments.

  • Familiarity withSafety-Critical environments (e.g., Transport, Energy, Healthcare).

  • Experience with agentic frameworks or modern AI orchestration.

Why Apply?

This organisation is renowned for its commitment to staff wellbeing and professional development.

  • Work-Life Balance: 30 days annual leave (plus bank holidays), flexible core hours, and hybrid working.

  • Health & Future: Private medical and dental cover, performance-related bonus, and a highly competitive pension scheme.

  • Impact: Your work will have a tangible effect on the safety and sustainability of national infrastructure used by millions.

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