Senior Data Scientist

London, United Kingdom; Greater London; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A leading data science organization is seeking a Senior Data Scientist to work on national security projects in Central London. This hybrid role involves leading data science initiatives, applying advanced machine learning techniques, and mentoring junior team members. The ideal candidate will possess strong Python skills along with experience in AWS and machine learning libraries. A unique opportunity to have a meaningful impact on UK security awaits you in this exciting position.

Benefits

£7,000 DV Bonus

Hybrid Working

Responsibilities

• Lead data science projects from scoping to deployment.
• Apply ML and statistical methods across varied data types.
• Collaborate with ML engineers to productionise models.
• Communicate insights to technical and non-technical stakeholders.
• Mentor junior team members.

Skills

Strong Python

ML libraries (scikit-learn, PyTorch, pandas, NumPy)

Experience with AWS cloud services

Familiarity with MLOps tools

Knowledge of NLP

Computer vision

Time-series analysis

Ability to design experiments

Understanding of Responsible AI principles

Model explainability

Job description

£45,000 - £65,000 GBP

£7,000 DV Bonus

Hybrid Working

Location: Central London, Greater London - United Kingdom

Type: Permanent

Role: Senior Data Scientist

Area: National Security Projects

Location: London (Hybrid) - 3 days per week

Security: Eligibility for Developed Vetting Clearance with the UK Government

Salary: Up to £65k + £7k annual DV bonus (once obtained)

About the Role:

This is a unique opportunity to apply advanced data science in the national security domain. You'll work with highly sensitive, complex dataset s that you won't find anywhere else, solving problems that have a direct impact on UK security. Expect variety: one day you'll be scoping new AI projects with stakeholders, the next you'll be building models for text, image, or geospatial data, and later presenting findings to senior decision-makers.

You’ll influence strategy, mentor junior colleagues, and help shape how AI is adopted across critical missions. If you want to combine technical depth with meaningful impact, this is the role for you.

What You’ll Do:

• Lead data science projects from scoping to deployment
• Apply ML and statistical methods across varied data types
• Collaborate with ML engineers to productionise models
• Communicate insights to technical and non-technical stakeholders
• Mentor junior team members

Skillset:

• Strong Python and ML libraries (scikit-learn, PyTorch, pandas, NumPy)
• Experience with AWS cloud services (SageMaker, Lambda, S3)
• Familiarity with MLOps tools (MLflow, Weights & Biases)
• Knowledge of NLP, computer vision, or time-series analysis
• Ability to design experiments and apply statistical validation
• Understanding of Responsible AI principles and model explainability

Ready to take your data science expertise to the next level and make a real-world difference? Apply today.