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 by solving complex problems with cutting-edge technology.
- Qualifications: Experience in data science or machine learning, especially in Defence or Security.
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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the Defence & 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 Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those using machine learning techniques. We recommend including real-world applications that demonstrate your problem-solving abilities and impact.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. We suggest practising common data science interview questions and scenarios, so you can confidently discuss your experience with stakeholders and cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it shows your enthusiasm for joining our team!
We think you need these skills to ace Data Scientist
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 and data science, especially in Defence or Security. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how you can contribute to our mission. Be sure to mention any relevant projects or experiences that showcase your skills.
Showcase Your Technical Skills:Don’t forget to highlight your technical skills, especially in Python and ML libraries like TensorFlow or PyTorch. We love seeing practical applications of your knowledge, so include any projects or achievements that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, we love seeing applications come directly from our site!
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 tackled them using data science or machine learning techniques. Highlight your ability to deliver scalable solutions with measurable impact.
✨Familiarise Yourself with Tools
Get comfortable with the ML lifecycle tools mentioned, like MLflow or Kubeflow. If you have experience with cloud platforms like AWS or Azure, be ready to share how you've used them in your projects to enhance your solutions.
