At a Glance
- Tasks: Use 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.
- Qualifications: Experience in data science or machine learning, strong Python skills, and DV clearance required.
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
Requirements
- 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
- 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 Manchester employer: Experis UK
Join a forward-thinking employer that prioritises innovation and collaboration in the Defence & Security sector. With a strong commitment to employee growth, we offer extensive training opportunities and a dynamic work culture that encourages creativity and teamwork. Located in vibrant cities like Bristol, London, and Manchester, our team thrives on tackling real-world challenges while making a meaningful impact on national security.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Manchester
✨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 machine learning projects, especially those relevant to Defence and Security. We want to see how you’ve applied AI techniques to real-world problems, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex ideas clearly, so practice presenting your past projects and their impact. We’re here to help you nail that interview!
✨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 Data Scientist in Manchester
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 Technical Skills:Don’t forget to mention your strong Python skills and experience with ML libraries like TensorFlow or PyTorch. We’re looking for someone who can hit the ground running, so make sure we know what you bring to the table!
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 showcase your application in the best light. We can’t wait to see what you’ve got!
How to prepare for a job interview at Experis UK
✨Know Your Tech Inside Out
Make sure you’re well-versed in the machine learning models mentioned in the job description, like Transformers and CNNs. Brush up on your Python skills and be ready to discuss your experience with ML libraries such as TensorFlow and PyTorch.
✨Showcase Real-World Applications
Prepare examples of how you've applied data science and AI techniques to solve complex problems, especially in Defence or Security. Be ready to explain the impact of your solutions and how they contributed to project delivery.
✨Communicate Clearly
Practice explaining complex ideas in simple terms. You’ll need to demonstrate your ability to communicate insights effectively to stakeholders, so think about how you can present your past work in a clear and engaging way.
✨Familiarise Yourself with Ethical AI
Understand the principles of Ethical and Responsible AI, as this is crucial in the Defence sector. Be prepared to discuss how you’ve considered these principles in your previous projects or how you would apply them in future work.
