Data Scientist in Surrey

Location(s): UK, Europe however, their role will include working with a range of datasets in support of this objective.

The data scientist should apply a range of techniques and exploitation to lead to improves customer outcomes and highlight drawbacks/shortcomings of datasets in a timely manner.

As part of their professional development, it is beneficial to have a data scientist that will take the initiative and attend training which will improve their tradecraft, techniques, and investigative methods Qualifications 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, Py Torch, Tensor Flow), 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 Mo D/Partner DV and be a UK National.

Hybrid Working 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 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. #J-18808-Ljbffr