
Summer Intern Data Researcher
Job Description
Description
Job title: Summer Intern Digital Intelligence Data Researcher
Location: Great Baddow (Essex)
We offer a range of hybrid and flexible working arrangements, however for this role you will be expected to attend your site 3-5 days per week.
Salary: £25,900 (pro-rata)
End Date: 10th September 2027
Who we are
Join BAE Systems and you’ll be part of something bigger. As a valued member of our global colleague network, you’ll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You’ll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow – shaping a safer future, for all of us.
From the depths of the ocean, to the far reaches of space – there’s no limit to where a career at BAE Systems could take you.
Role description
You will have the opportunity to work on a wide range of Data science research topics for customers across the defence, security and commercial sectors. The Data Applied Research group has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs and graph based neural nets, AI for RF and EW, sonar and acoustics and you will have the opportunity to work with and be trained by these colleagues in multi-disciplinary teams.
You will undertake novel research in given topic areas, often in partnership with leading Universities, develop prototypes and proof of concept demonstrator and prepare technical reports and proposals
Core duties (Nothing generic, needs to be meaningful, what they will be doing on a day-to-day basis. Max 5 bullet points. No acronyms)
• NEED TO REMOVE THIS SECTION IF NOT RECEIVED FROM THE BU BY FRI AM
The Digital Intelligence Team
Drive success and innovation at BAE Systems Digital Intelligence, where you will develop skills to be an integral part in delivering cutting-edge solutions that protect and empower global security.
Why BAE Systems
Here you’ll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work – this is a place where you can grow your career with confidence and be empowered to be your best. You’ll be recognised for your contribution and enjoy rewards tailored to what’s most important to you and your family – support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make.
A place where everyone can thrive
We’re committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do.
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.
Qualification requirements
As a minimum requirement you’ll need to have obtained, or be predicted to obtain, a 2:2 in your undergraduate degree in a relevant STEM subject such as Computer Science, Data Science (DS), Machine Learning (ML), Artificial Intelligence (AI), Robotics, Electronic/Electrical/Aerospace Engineering and Physics. An AI related Master’s degree will also be beneficial for future Graduate roles. You will need to demonstrate an active interest in Applied AI research.
Start date: 21st June 2027 Length of contract: 12 weeks
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Working at BAE Systems

3 office days / week – Hybrid options are dependant on role and can range from fully remote to on-site full time

A little flex time – We offer a range of hybrid and flexible working arrangements depending on the role you apply for – explore your options with our recruiter during the application process.
