Location(s): UK, Europe & Africa : UK : Frimley
BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work 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.
Job Title: Data Scientist
Requisition ID: 121950
Location: Frimley
Grade: GG10 - GG11
Referral Bonus: £5,000
About the role
We are looking for a Data Scientist to join our Digital Defence Services team following continuous growth and success. Within Digital Defence Services, we are a critical partner to the UK Ministry of Defence in their adoption of secure digital solutions that enable multi-domain integration and data exploitation, which provides the advantage to those who serve and protect us. Positioned within a thriving Digital Defence Services Business Unit and part of a wider vibrant Security Consulting Community from across other sectors, you will be supported in the role to learn and develop, with clear pathways defined for your career progression in the organisation.
Our people are what differentiates us; they are resourceful, innovative and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting-edge, high-quality solutions. Our breadth of work across the public sector provides diverse opportunities for our people to develop their careers in new areas and with new clients.
As a Data Scientist, you will:
- 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, handling 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.
About You
- You have a strong foundation in data science, analytics, or machine learning, with hands-on experience developing models that solve practical problems and deliver measurable impact.
- You are comfortable working across the full machine learning lifecycle – from exploratory data analysis and model prototyping to production deployment, integration, and ongoing monitoring.
- You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings.
- You have deployed models into live systems and understand how to make ML operational – whether that means working with APIs, integrating into existing applications, or using containerisation tools like Docker.
- You actively monitor the performance of deployed models, and are experienced in identifying drift, re-training triggers, or opportunities for optimisation.
- You stay current with the latest advancements in machine learning and AI and enjoy applying new methods or tools to improve systems and outcomes.
- You are aware of the ethical and governance considerations that come with deploying machine learning at scale – such as bias, fairness, explainability, and compliance – and you incorporate these into your work.
- You are a strong communicator who can translate complex technical work into clear insights and recommendations, adapting your message to suit both technical and non-technical stakeholders.
- You enjoy working in cross-functional teams, contributing your expertise while collaborating with analysts, engineers, product teams, and decision-makers.
- You are self-motivated, solution-oriented, and take ownership of your work – from scoping a problem through to delivering a production-ready solution.
Due to the nature of our business and requirements of this role, you will need to hold a MoD/Partner DV and be a UK National.
Why BAE Systems?
This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments.
Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks.
Life at BAE Systems Digital Intelligence
We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day.
By embracing technology, we can interact, collaborate and create together, even when we’re working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively, and enhance well-being.
Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence. We are proud to have an organisational culture where employees with varying perspectives, skills, life experiences and backgrounds – the best and brightest minds – can work together to achieve excellence and realise individual and organisational potential.
