At a Glance
- Tasks: Apply AI and machine learning to tackle real-world challenges in Defence & Security.
- Company: Join a dynamic team focused on impactful solutions for national security.
- Benefits: Competitive salary, professional development, and the chance to work on mission-critical projects.
- Other info: Collaborative environment with opportunities for innovation and career growth.
- Why this job: Make a difference with cutting-edge technology while supporting national security initiatives.
- Qualifications: Experience in data science or machine learning, especially in Defence or Security sectors.
The predicted salary is between 50000 - 70000 € per year.
Join a growing Data Science & Machine Learning team working on some of the most ambitious and mission-critical programmes in the Defence & Security sector. This role offers the chance to apply cutting-edge AI techniques to real-world challenges, delivering impactful solutions that support national security.
Key Responsibilities
- Apply data science, machine learning, and AI techniques to solve complex, real-world problems
- Research, design, and implement innovative models and solutions
- Work across the full ML lifecycle from requirements gathering and prototyping to deployment and live service support
- Deliver high-quality, scalable solutions with measurable impact
- Collaborate with multidisciplinary teams in agile environments
- Contribute to new ideas, propositions, and project delivery
- Build strong relationships with stakeholders and communicate insights effectively
Essential Skills & Experience
- Proven experience applying data science or machine learning in Defence, Security, public sector, or academia
- Strong understanding of machine learning models (e.g. Transformers, CNNs, Generative AI) and their practical applications
- Excellent communication skills with the ability to present complex ideas clearly
- Experience working with stakeholders and cross-functional teams
- Track record of contributing to project delivery, innovation, or capability development
Desirable Skills
- Experience working with text, audio, image, or video data
- Familiarity with cloud platforms (AWS, Azure, GCP)
- Strong Python skills and experience with ML libraries and frameworks (e.g. TensorFlow, PyTorch)
- Knowledge of statistics and probability
- Experience with ML lifecycle tools (e.g. MLflow, Kubeflow, Argo)
- Understanding of Ethical and Responsible AI principles
Security Requirements
You must hold active UK Developed Vetting (DV) clearance.
Data Scientist in England employer: LinkedIn
As a leading employer in the Defence & Security sector, we offer Data Scientists the opportunity to work on groundbreaking projects that have a direct impact on national security. Our collaborative and innovative work culture fosters professional growth, with access to cutting-edge technologies and continuous learning opportunities. Located in vibrant cities like Bristol, London, and Manchester, we provide a dynamic environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to people in the Defence & Security sector on LinkedIn or at industry events. We can’t stress enough how valuable personal connections are when it comes to landing that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning models. We want to see your practical applications and innovative solutions, so make sure they shine!
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to present complex ideas clearly, so practice explaining your projects and the impact they had. We’re all about collaboration, so show us you can work well with others!
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Data Scientist in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with machine learning models and any relevant projects you've worked on in Defence or Security. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about applying AI techniques to real-world challenges. Share specific examples of your work that demonstrate your problem-solving skills and innovative thinking.
Showcase Your Communication Skills:Since you'll be collaborating with multidisciplinary teams, it's crucial to showcase your communication skills. In your application, mention instances where you've effectively communicated complex ideas to stakeholders or team members.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward, and you can easily attach your CV and cover letter. Plus, it helps us keep track of your application!
How to prepare for a job interview at LinkedIn
✨Know Your Models
Make sure you brush up on your understanding of machine learning models, especially those mentioned in the job description like Transformers and CNNs. Be ready to discuss how you've applied these models in real-world scenarios, particularly in Defence or Security.
✨Showcase Your Communication Skills
Since excellent communication is key for this role, practice explaining complex data science concepts in simple terms. Think about examples where you've successfully communicated insights to stakeholders or cross-functional teams.
✨Demonstrate Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous projects and how you approached solving them. Highlight your experience with the full ML lifecycle, from gathering requirements to deployment, and be ready to share measurable impacts of your solutions.
✨Familiarise Yourself with Tools and Platforms
If you have experience with cloud platforms like AWS, Azure, or GCP, make sure to mention it. Also, be prepared to talk about any ML lifecycle tools you've used, such as MLflow or Kubeflow, and how they contributed to your project success.
