At a Glance
- Tasks: Create innovative software and data science applications in a collaborative team environment.
- Company: Join a dynamic tech team at FalconWorks, pushing the boundaries of technology.
- Benefits: Competitive salary starting at £47,683, with opportunities for growth and development.
- Why this job: Make an impact by working on cutting-edge projects in AI and machine learning.
- Qualifications: Experience in programming languages like Python, Java, or C++, and a passion for data science.
- Other info: Be part of a multi-disciplinary team with excellent career advancement opportunities.
The predicted salary is between 47000 - 67000 £ per year.
What you’ll be doing
- Derivation of early concept and/or research requirements
- Iterative design, development, integration, assessment and demonstration of software and Data Science applications matched to requirements
- Driving and coordinating collaboration with team members, multi-disciplinary internal specialists, and external partners
- Driving the adoption and use of good Software Engineering practices and associated Industry Standards where possible
- Documenting and presenting activity progress and results to internal and external stakeholders
- Delivery of projects to time, cost and quality requirements
- Writing business cases and proposals to steer software-related research and internal investment activities
- Providing timely reporting information into project-specific reviews
- Conducting performance reviews and providing day-to-day Line Management for team members
Your skills and experiences
Essential
- Software development using one or more high-level programming languages (e.g. C, C++, Java, Python)
- Practical applications of Data Science, ideally in the domain of Machine Learning for Artificial Intelligence, and associated development toolsets
- Utilising collaborative Continuous Integration / Continuous Deployment environments within the Windows and Linux operating systems based on Open Source toolsets e.g. GitLab
Desirable
- The Software Development Lifecycle and Fundamental Software Engineering practices e.g. the use of SOLID principles
- Managing people and working collaboratively within a multi-disciplinary team
- Practical application of Agile methods across the requirements capture, planning and execution phases of projects
Benefits
As well as a competitive pension scheme, BAE Systems also offers employee share plans, an extensive range of flexible discounted health, wellbeing and lifestyle benefits, including a green car scheme, private health plans and shopping discounts – you may also be eligible for an annual incentive.
The Systems Technology & Capability Delivery Team
The Systems Technology & Capability Delivery Team, within the FalconWorks organisation, strives to shape the future direction of research and development, and to deliver technology value into our future products aligned with the Air Sector business strategy. Taking a multi-functional, whole product life cycle approach, we assess the future Air Sector wide product needs to identify technology trends and enact plans to mature early concepts through to exploitation. This is a very different operating environment to well-established requirements-led product development activities.
The role involves working as part of a dynamic, highly-collaborative, multi-disciplinary engineering team to develop software applications to support a diverse portfolio of novel technology programmes across the FalconWorks organisation. These applications will focus on the early instantiation, evaluation and demonstration of the very latest ideas and technologies, frequently working with internal specialists across domains including Mission Systems, Autonomy, Human Factors, Software Engineering, Modelling & Simulation, Information Systems and Test & Evaluation. A significant amount of external collaboration will also be the norm, working effectively with Academia, Small to Medium Enterprises and Industry partners with a single-team mentality.
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.
Closing Date
25th September 2025 – We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible.
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Software Data Science Engineer employer: BAE Systems
Contact Detail:
BAE Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Data Science Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your software development projects and data science applications. This is your chance to demonstrate your expertise in programming languages and machine learning – make it shine!
✨Tip Number 3
Prepare for interviews by practising common technical questions and soft skills scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process and boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Software Data Science Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Software & Data Science Engineer role. Highlight your experience with programming languages like C, C++, Java, or Python, and any relevant Data Science projects you've worked on. We want to see how your skills match our needs!
Showcase Your Projects: Include specific examples of your work in software development and Data Science. If you've used Agile methods or worked in Continuous Integration/Continuous Deployment environments, let us know! This helps us understand your hands-on experience.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to explain your achievements and contributions succinctly. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at BAE Systems
✨Know Your Tech Inside Out
Make sure you brush up on your programming languages, especially C, C++, Java, and Python. Be ready to discuss your experience with Data Science and Machine Learning, as well as any projects you've worked on that showcase your skills in these areas.
✨Showcase Collaboration Skills
Since the role involves working in a multi-disciplinary team, be prepared to share examples of how you've successfully collaborated with others. Highlight any experiences where you drove teamwork or coordinated with different specialists to achieve a common goal.
✨Demonstrate Agile Mindset
Familiarise yourself with Agile methodologies and be ready to discuss how you've applied them in past projects. Share specific instances where you adapted to changes quickly and how it benefited the project outcome.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice solving coding problems or case studies related to software development and Data Science. This will not only show your technical prowess but also your approach to problem-solving under pressure.