Type: Permanent
Clearance: DV required | UK nationals only
Salary: up to £70,000 gross per annum
The Opportunit
yA leading organisation within the digital defence and security space is looking to bring in a Data Scientist to support the delivery of secure, data-driven solutions across complex government programmes.
You’ll be part of a high-performing team working at the forefront of data exploitation, advanced analytics, and machine learning, helping to deliver real-world impact across critical environments. The role offers strong exposure to varied datasets, evolving problem sets, and the opportunity to shape solutions end-to-en
What You’ll Be Doing
ingYou’ll play a key role in designing and delivering data-driven solutions, working across the full machine learning lifecycle from early exploration through to production deployment. Operating within a collaborative, multi-disciplinary environment, you’ll combine strong technical capability with practical delivery, helping translate complex data into actionable insights. This is a hands‑on role where you’ll work closely with analysts, engineers, and stakeholders, developing models, integrating them into real systems, and continuously improving performance in live environments.
Responsibilities
- Designing, developing, and testing data pipelines to collect, integrate, and prepare data for analytics and ML use c
- Analysing complex datasets to identify trends, patterns, and actionable insights
- Building, prototyping, and validating statistical and machine learning models
- Taking ownership of ML solutions across the full lifecycle, from development through to deployment and optimisation
- Deploying models into production environments and integrating them into wider systems
- Monitoring model performance, identifying drift, and driving continuous improvement
- Working closely with cross‑functional teams to define requirements and enhance data‑driven capabilities
- Communicating findings and recommendations to both technical and non‑technical stakeholders
- Applying data science techniques across varied datasets, including large-scale and unstructured sources
- Leveraging tools and technologies such as Python, ELK stack, NiFi, APIs, and geospatial platforms
- Supporting data exploitation use cases, including open‑source and intelligence‑driven datasets
- Ensuring solutions align with ethical standards, governance frameworks, and best practice
- Providing technical guidance and mentoring where needed across the team
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