At a Glance
- Tasks: Tackle complex AI challenges and deploy cutting-edge models in a secure environment.
- Company: Join a leading programme supporting UK intelligence with innovative technology.
- Benefits: Competitive salary, hands-on experience, and a dynamic work culture.
- Other info: Embrace innovation in a collaborative AI Lab-style environment.
- Why this job: Make a real impact in AI while working on exciting, mission-critical projects.
- Qualifications: Experience in data science, machine learning, and tools like PyTorch or TensorFlow.
The predicted salary is between 50000 - 70000 £ per year.
Applied Data Scientist - AI & National Security Programme
Cheltenham Area - on site
The Opportunity
We are seeking talented Applied Data Scientists to join a cutting-edge programme, supporting UK intelligence clients. You will be part of a programme focused on artificial intelligence, machine learning, advanced analytics, and modern cloud-native technologies within a highly secure environment.
What You'll Be Doing
- Work on complex challenges across AI, Natural Language Processing (NLP), and Machine Learning
- Build, train and deploy models using tools such as:
- PyTorch
- TensorFlow
- scikit-learn
- Apply modern data science techniques to real-world, mission-critical problems
- Collaborate with engineering teams to deploy scalable solutions using cloud-based tooling
The Environment
You'll be operating within an AI Lab-style model, where:
- Teams are encouraged to experiment, prototype, and explore emerging technologies
- Requirements evolve - flexibility and curiosity are key
- Innovation is prioritised over maintaining legacy systems
- New ideas are actively tested and adopted
This workstream is expected to be one of the most advanced and technically exciting areas within the programme, offering the opportunity to push the boundaries of applied AI in a real-world setting.
What We're Looking For
- Strong experience in applied data science, machine learning or AI
- Hands-on experience with frameworks such as PyTorch, TensorFlow or sklearn
- Experience working with NLP or advanced analytics (desirable)
- Ability to move from research and prototyping into production environments
- A mindset suited to experimentation, innovation, and continuous learning
Security Requirements
- Active SC (Security Check) clearance is required
- Must be a UK Sole National due to the nature of the work and client requirements
If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Data Scientists (SC Cleared) in Hayden employer: Experis
Join a pioneering team of Applied Data Scientists in the Cheltenham area, where innovation and collaboration thrive in a secure AI Lab environment. Our commitment to employee growth is reflected in our focus on experimentation and the adoption of cutting-edge technologies, providing you with the opportunity to tackle real-world challenges while advancing your career in artificial intelligence and machine learning. With a culture that prioritises creativity and flexibility, we offer a unique chance to contribute to mission-critical projects that shape the future of national security.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientists (SC Cleared) in Hayden
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data scientists. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI, machine learning, and NLP. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our listings and make sure your application stands out!
We think you need these skills to ace Data Scientists (SC Cleared) in Hayden
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in applied data science, machine learning, and AI. Use keywords from the job description to show we’re on the same page and that you’ve got what it takes!
Showcase Your Projects:Include specific examples of projects where you've used tools like PyTorch or TensorFlow. We love seeing how you’ve tackled real-world problems with your skills, so don’t hold back!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the role.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you into the mix for this exciting opportunity!
How to prepare for a job interview at Experis
✨Know Your Tech
Make sure you brush up on your knowledge of AI, machine learning, and the specific frameworks mentioned in the job description, like PyTorch and TensorFlow. Be ready to discuss how you've used these tools in past projects and be prepared to solve a technical problem on the spot.
✨Show Your Curiosity
This role values flexibility and curiosity, so come prepared with questions about the latest trends in AI and data science. Share your thoughts on emerging technologies and how they could impact the field. This shows you're not just a follower but an innovator.
✨Demonstrate Collaboration Skills
Since you'll be working closely with engineering teams, highlight any past experiences where you collaborated on projects. Discuss how you approached teamwork and what tools you used to ensure smooth communication and deployment of solutions.
✨Prepare for Real-World Scenarios
Expect to tackle real-world problems during your interview. Think of examples from your experience where you applied data science techniques to solve complex issues. Be ready to explain your thought process and the impact of your solutions.
