Job at a glance
Join the Growth Story at Envitia Envitia operates at the heart of the UK’s most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture.
This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success.
We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We’re thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025—a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive.
The Role Envitia is recruiting for a Data Scientist to join our Security and Intelligence consulting team and will be responsible for designing, developing and delivering advanced analytics and machine learning capabilities within secure government environments. The role focuses on applying data science and AI techniques to operational intelligence challenges, including large-scale data analysis, predictive modelling, pattern recognition, and automated decision support.
The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, software engineers, mission analysts and operational users to develop and deploy analytics solutions that enable insight and mission advantage. Typical engagements include: Intelligence data exploitation and advanced analytics ML model development and optimisation Natural Language Processing (NLP), data matching and pattern detection Data triage and automated analysis of large datasets Operational decision-support systems Job Responsibilities 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 (e.g. 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. Skills Required 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 (e.g.
NumPy, Pandas, scikit‑learn, PyTorch, TensorFlow). Experience with big data and distributed analytics platforms (e.g. Spark, Hadoop). Hands‑on experi