Data Scientist

Salary: £59,000 - 99,000 per year

Requirements

• We are looking for a strong foundation in data science, analytics, or machine learning, with hands-on experience developing models that solve practical problems and deliver measurable impact.
• We need someone comfortable working across the full machine learning lifecycle, from exploratory data analysis and model prototyping to production deployment, integration, and ongoing monitoring.
• We require proficiency in Python and its data/ML ecosystem, including tools such as pandas, scikit-learn, PyTorch, and TensorFlow.
• We expect experience deploying models into live systems and understanding how to operationalise ML through APIs, existing applications, or containerisation tools like Docker.
• We need experience monitoring deployed model performance and identifying drift, retraining triggers, or opportunities for optimisation.
• We are looking for someone who stays current with the latest advancements in machine learning and AI and enjoys applying new methods or tools to improve systems and outcomes.
• We value awareness of the ethical and governance considerations involved in deploying machine learning at scale, including bias, fairness, explainability, and compliance.
• We need a strong communicator who can translate complex technical work into clear insights and recommendations for technical and non-technical stakeholders.
• We are looking for someone who enjoys working in cross-functional teams and collaborating with analysts, engineers, product teams, and decision-makers.
• We need a self-motivated, solution-oriented person who takes ownership from scoping a problem through to delivering a production-ready solution.
• Due to the nature of our business and the requirements of this role, you will need to hold a MoD/Partner DV and be a UK National.

Responsibilities

• Design, develop, and test solutions to collect, integrate, and prepare data for advanced analytics and machine learning applications.
• Analyse complex datasets to uncover trends, patterns, and actionable insights that drive business or operational outcomes.
• Build, prototype, and evaluate statistical and machine learning models to solve real-world problems, testing feasibility and estimating impact before full deployment.
• Engineer and implement ML-based solutions, owning the full lifecycle from model development and deployment to monitoring and iteration.
• Deploy models into production environments and handle the integration and operationalisation of ML within wider systems and applications.
• Continuously evaluate and monitor model performance, identifying degradation, performance gaps, or opportunities for optimisation.
• Collaborate closely with data analysts, engineers, and other stakeholders to define new tools, enhance workflows, and support innovation across teams.
• Communicate findings, recommendations, and model outcomes to both technical and non-technical audiences through visualisation and data storytelling.
• Research emerging AI/ML techniques to stay ahead of the curve and identify new opportunities to enhance current systems.
• Ensure all data science and ML practices adhere to relevant ethical standards, policies, and governance frameworks.
• Provide technical guidance and mentorship on ML implementation across cross-functional teams.
• Use and design algorithms to extract meaningful, actionable insight from a variety of datasets.
• Develop, test, and deploy tooling across technologies including Elastic, Logstash, Kibana (ELK) and equivalents, Ni-Fi, Python, geospatial intelligence software, and APIs from commercial/open-source providers.
• Conduct exploratory analysis of datasets to address a range of client problem sets.
• Work with a range of datasets in support of open-source intelligence and data exploitation objectives.
• Apply techniques and exploitation methods to improve customer outcomes and highlight drawbacks or shortcomings of datasets in a timely manner.
• Attend training to improve tradecraft, techniques, and investigative methods as part of professional development.

Technologies

• AI
• Docker
• ELK
• Support
• Kibana
• Machine Learning
• PyTorch
• Python
• Security
• TensorFlow
• pandas

More

BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts working collaboratively across 10 countries to collect, connect and understand complex data so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. This role sits within our Digital Defence Services team, a critical partner to the UK Ministry of Defence in the adoption of secure digital solutions that enable multi-domain integration and data exploitation. The position is based in the South of England, with 4 to 5 days per week on a client site in Frimley, and we embrace hybrid working for greater flexibility and well-being. We offer a thriving, supportive environment with clear career progression pathways, a vibrant Security Consulting Community, and a diverse team culture that values generalists and specialists alike. Diversity and inclusion are integral to our success, and we are proud to bring together varied perspectives, skills, life experiences, and backgrounds to achieve excellence.

last updated 36 week of 2026