Data Scientist

Data Scientist

Location: London (3-4 days per week on-site)

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

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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

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What You’ll Be Do

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 insig

ht.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 environmen

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Responsibilit

• ies:Designing, developing, and testing data pipelines to collect, integrate, and prepare data for analytics and ML use c
• asesAnalysing complex datasets to identify trends, patterns, and actionable insi
• ghtsBuilding, prototyping, and validating statistical and machine learning mo
• delsTaking ownership of ML solutions across the full lifecycle, from development through to deployment and optimisa
• tionDeploying models into production environments and integrating them into wider sys
• temsMonitoring model performance, identifying drift, and driving continuous improve
• mentWorking closely with cross-functional teams to define requirements and enhance data-driven capabili
• tiesCommunicating findings and recommendations to both technical and non-technical stakehol
• dersApplying data science techniques across varied datasets, including large-scale and unstructured sou
• rcesLeveraging tools and technologies such as Python, ELK stack, NiFi, APIs, and geospatial platf
• ormsSupporting data exploitation use cases, including open-source and intelligence-driven data
• setsEnsuring solutions align with ethical standards, governance frameworks, and best prac
• ticeProviding technical guidance and mentoring where needed across the