Lead Data Scientist
other jobs Morgan McKinley
Added before 2 Days
- England,London,City of London
- Full Time, Permanent
- Salary negotiable
Job Description:
Location: London - 2 days on site Salary: Up to 67000 + 30 Days Holiday + Performance Bonus Sector: Independent National Standards & Research
The OpportunityThey are seeking a Lead 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 (including Agentic frameworks and Generative 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, and Reproducible 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 ProfileThey are looking for a candidate who values rigour as much as innovation. You likely have a background in the Public 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 within Azure cloud environments.
*Familiarity with Safety-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.
The OpportunityThey are seeking a Lead 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 (including Agentic frameworks and Generative 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, and Reproducible 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 ProfileThey are looking for a candidate who values rigour as much as innovation. You likely have a background in the Public 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 within Azure cloud environments.
*Familiarity with Safety-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.
Job number 3638879
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