Overview

Direct message the job poster from Anson McCade

Clearance: Must hold Active SC clearance

A leading digital consultancy is looking for a Senior Data Scientist to lead and deliver cutting-edge AI/ML solutions for clients across UK defence and public sector. This is a hands-on, strategic position for someone who thrives at the intersection of data science, client delivery, and software product design.

What You'll Be Doing

• Lead technical project delivery and shape data science strategy across multiple client engagements
• Define and implement bespoke machine learning algorithms to solve real-world defence problems
• Guide technical scoping and planning, working closely with stakeholders to ensure feasibility and impact
• Mentor and support other data scientists across project teams
• Contribute to the wider data science community via open-source projects, public speaking, or technical training
• Collaborate with software engineers, product teams, and designers to inform secure, deployable AI solutions

Key Skills & Experience Required

• Senior-level experience in data science or a quantitative field
• Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn)
• Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar)
• Strong mathematical/statistical background
• Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL)
• Experience leading data science teams and managing project timelines
• Excellent communication and stakeholder engagement skills
• SC clearance and British citizenship are mandatory

This is an exciting opportunity to apply data science in a meaningful, mission-focused environment while influencing the future of AI in defence. Apply now to learn more!

Notes

• Location references and job postings timestamps (e.g., various UK locations and posting dates) are kept for context but not as active part of the job description.
• All roles and responsibilities reflect the information provided and are suitable for candidate evaluation.