Data Scientist

Data ScientistLocation: London (3-4 days per week on-site)Type: PermanentClearance: DV required | UK nationals onlySalary: up to £70,000 gross per annumThe OpportunityA 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-end.What You’ll Be DoingYou’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 insight.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 casesAnalysing complex datasets to identify trends, patterns, and actionable insightsBuilding, prototyping, and validating statistical and machine learning modelsTaking ownership of ML solutions across the full lifecycle, from development through to deployment and optimisationDeploying models into production environments and integrating them into wider systemsMonitoring model performance, identifying drift, and driving continuous improvementWorking closely with cross-functional teams to define requirements and enhance data-driven capabilitiesCommunicating findings and recommendations to both technical and non-technical stakeholdersApplying data science techniques across varied datasets, including large-scale and unstructured sourcesLeveraging tools and technologies such as Python, ELK stack, NiFi, APIs, and geospatial platformsSupporting data exploitation use cases, including open-source and intelligence-driven datasetsEnsuring solutions align with ethical standards, governance frameworks, and best practiceProviding technical guidance and mentoring where needed across the team