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# Data Scientist - Security & Intelligence

- **Company:** Hackajob Ltd
- **Location:** Gloucester, UK
- **Salary:** £61,000.0 - £101,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Big Data, Cloud Computing, Data Visualization, Apache Hadoop, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Tensorflow, Unstructured Data, Pytorch, Apache Spark, Deep Learning, Pandas, Scikit Learn, Data Analytics, Operational Systems, Machine Learning Operations, Unsupervised Learning
- **Published:** September 25, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5896695180

## About the Role

* Experience working in secure or highly regulated environments, with an understanding of handling sensitive or classified data.
 * Strong knowledge of modern data science and machine learning techniques, including supervised and unsupervised learning.
 * Proficiency in the Python data science ecosystem, including NumPy, Pandas, scikit-learn, PyTorch, and TensorFlow.
 * Experience with big data and distributed analytics platforms, including Spark and Hadoop.
 * Hands-on experience with Natural Language Processing, graph analytics, and advanced analytical methods.
 * Experience using cloud analytics platforms, with strong AWS and native tooling expertise.
 * Data visualisation skills and experience communicating insights through analytical tools and dashboards.
 * Ability to work closely with users and stakeholders to understand real-world problems and translate complex analysis into actionable insight.
 * The successful candidate must hold a high level security clearance.
 * The role may require up to 80% onsite working at client locations in Cheltenham, London, and Manchester, based on project requirements.

## Description

* Design, develop, and deploy AI and machine learning solutions to analyse complex structured and unstructured data.
 * Build and maintain scalable data and AI/ML pipelines to support advanced analytics and automated insight generation.
 * Apply a range of data science techniques including machine learning, statistical modelling, deep learning, NLP, graph analytics, and time-series analysis.
 * Prepare, transform, and integrate large, multi-source datasets, including sensor, geospatial, and communications data, for analytics and model development.
 * Develop predictive models, prototypes, and proof-of-concept solutions to identify patterns, trends, and anomalies.
 * Implement, train, tune, and validate models within secure, production-grade environments.
 * Collaborate closely with data engineers, software engineers, and platform teams to deploy solutions into operational systems.
 * Develop dashboards, visualisations, and analytical tools to communicate insights to technical and non-technical stakeholders.
 * Provide technical leadership and contribute to AI/ML strategy, best practice, and capability roadmaps.

Technologies:

 * AI
 * AWS
 * Big Data
 * Cloud
 * Hadoop
 * Support
 * Machine Learning
 * PyTorch
 * Python
 * Security
 * Spark
 * TensorFlow
 * numpy
 * pandas
 * Backbone


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