At a Glance
- Tasks: Use data science and AI to tackle complex challenges in Defence and Security.
- Company: Join a leading organisation focused on innovative solutions for real-world impact.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continual learning and development.
- Why this job: Make a difference with cutting-edge technology while shaping the future of Defence.
- Qualifications: Experience in data science or machine learning, especially in Defence or Security.
The predicted salary is between 60000 - 80000 £ per year.
Responsibilities
- Apply data science, machine learning and AI techniques creatively to solve complex problems.
- Research and develop innovative solutions that deliver real‑world impact.
- Pioneer implementation of new techniques and technologies.
- Participate in all phases of the lifecycle from capturing user needs and developing prototypes to scaling and managing live services.
- Be responsible for the high‑quality delivery of projects.
- Shape new propositions and support winning new projects.
- Support continual learning and development in the team.
- Develop deep understanding of the Defence and Security sector and the context for AI solutions and services to be successful.
Essential Skills and Experience
- Hands‑on experience of applying data science or machine learning in Defence/Security, wider public sector, or in academia.
- Understanding of a range of machine learning architectures and models (e.g. Transformers, CNNs, Generative AI) and understanding their applicability to client use cases.
- Strong communication skills, including preparing engaging and impactful reports and presentations and conveying complex issues to diverse audiences.
- Building productive relationships with colleagues and clients.
- Evidence of contribution to practice development, including developing new propositions, mentoring colleagues and supporting bid work.
Desirable Experience
- Experience applying state‑of‑the‑art techniques to derive insights from text, audio, imagery or video content.
- Experience with data‑science and machine‑learning services and toolkits from cloud providers (AWS, Azure, GCP) or equivalent.
- Practical experience with Python and good practice tools and processes for developing high‑quality code.
- Familiarity with common Python libraries for data management, statistical analysis, machine learning, visualisation, interactive web front‑ends.
- Experience with popular machine‑learning frameworks such as TensorFlow and PyTorch.
- Strong understanding of statistics and probability.
- Strong knowledge of the machine‑learning lifecycle, from prototyping state‑of‑the‑art to scaling and managing for enterprise use.
- Experience with one or more common workflow / pipelining frameworks (Kubeflow, MLFlow, Argo or equivalents).
- Understanding of key considerations for Ethical and Responsible AI and experience applying them.
Requirements
- All applicants must hold UK security clearance to Developed Vetting level.
- Eligible based in London, Bristol or Manchester with hybrid working.
Defence Data Science & ML Lead (AI & Security) employer: Hm Revenue & Customs (Hmrc)
As a leading employer in the Defence and Security sector, we offer a dynamic work environment where innovation thrives. Our commitment to employee growth is evident through continuous learning opportunities and a culture that encourages collaboration and creativity. With hybrid working options available in vibrant cities like London, Bristol, and Manchester, we provide a unique chance to make a real-world impact while enjoying a balanced lifestyle.
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Defence Data Science & ML Lead (AI & Security)
✨Tip Number 1
Network like a pro! Reach out to folks in the Defence and Security sector on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science and machine learning projects. We want to see your hands-on experience in action, so include any innovative solutions you've developed that have made a real-world impact.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex concepts in simple terms. We need to convey our ideas clearly, especially when discussing AI solutions with diverse audiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Defence Data Science & ML Lead (AI & Security)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your hands-on experience with data science and machine learning, especially in Defence or Security. We want to see how you've creatively applied these techniques to solve real-world problems, so don’t hold back!
Tailor Your Application:Take the time to customise your application for this role. Use the job description as a guide and align your experiences with the responsibilities and skills mentioned. This shows us that you understand what we’re looking for and how you fit in.
Communicate Clearly:Strong communication skills are key! When writing your application, focus on being clear and engaging. We love seeing impactful reports and presentations, so if you have examples, mention them to demonstrate your ability to convey complex ideas.
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 gives you a chance to explore more about StudySmarter and what we do!
How to prepare for a job interview at Hm Revenue & Customs (Hmrc)
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest data science and machine learning techniques, especially those relevant to Defence and Security. Brush up on your knowledge of architectures like Transformers and CNNs, and be ready to discuss how they can be applied to real-world problems.
✨Showcase Your Communication Skills
Prepare to convey complex ideas clearly and engagingly. Think about how you can present your past projects or experiences in a way that highlights your ability to communicate with diverse audiences. Practise summarising technical details into impactful narratives.
✨Demonstrate Your Problem-Solving Skills
Be ready to discuss specific examples where you’ve creatively solved complex problems using AI and machine learning. Highlight your role in the project lifecycle, from capturing user needs to delivering high-quality results, and how you’ve contributed to practice development.
✨Understand the Ethical Implications
Familiarise yourself with the key considerations for Ethical and Responsible AI. Be prepared to discuss how you’ve applied these principles in your work, as this is crucial in the Defence and Security sector. Showing awareness of ethical implications will set you apart.
