At a Glance
- Tasks: Lead the design and deployment of advanced AI systems, focusing on Generative AI.
- Company: A growing tech organisation in secure environments, fostering innovation.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Active SC Clearance needed; dynamic role with excellent career advancement potential.
- Why this job: Make a real impact by solving complex data challenges with cutting-edge AI technology.
- Qualifications: Strong experience in AI models, LLMs, and machine learning solutions required.
A growing technology organisation operating within highly secure environments is looking to hire a Lead Data Scientist to lead Data Science processes and GenAI deployment across complex programmes.
As a Lead Data Scientist, you'll play a key role in designing, developing, and deploying advanced AI systems, with a particular focus on Generative AI and Large Language Models (LLMs). You'll work across complex datasets and emerging technologies to create scalable, repeatable, and production-ready solutions. You'll collaborate with engineering and technical leadership teams to drive AI capability forward, while remaining hands-on with model development, optimisation, and deployment.
Key Responsibilities- Design and build advanced AI/ML solutions for complex data-driven challenges
- Develop and optimise Generative AI models and LLM-based applications
- Work with transformer architectures, SLMs, convolutional models, and related AI frameworks
- Build and optimise graph databases to support intelligent data relationships and retrieval
- Design and implement MCP servers and supporting AI infrastructure
- Select and apply appropriate machine learning techniques to achieve repeatable and measurable outcomes
- Contribute to AI architecture decisions, experimentation strategies, and technical roadmaps
- Work closely with engineers, architects, and stakeholders within secure environments
- Support optimisation problems and solver-based approaches where required
- Strong hands-on experience building AI models and machine learning solutions
- Commercial experience with:
- Large Language Models (LLMs)
- Small Language Models (SLMs)
- Transformer architectures
- Convolutional models
- Experience designing and optimising graph databases
- Experience building MCP servers
- Proven ability to apply AI and ML techniques to solve complex data problems
- Experience delivering scalable and repeatable AI solutions
- Generative AI (GenAI) experience is essential
Due to the nature of the opportunity and business, applicants need active SC Clearance.
Locations
Lead Data Scientist in Farnborough, Hampshire employer: Talent Locker
Join a forward-thinking technology organisation in Farnborough, where innovation meets security. As a Lead Data Scientist, you'll thrive in a collaborative work culture that prioritises employee growth and development, offering competitive daily rates and the flexibility of hybrid working. With a focus on cutting-edge AI technologies and a commitment to fostering talent, this role provides a unique opportunity to make a significant impact in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist in Farnborough, Hampshire
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work with AI and ML. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Generative AI and Large Language Models. 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. Be ready to discuss your experience with transformer architectures and graph databases, as these are hot topics in the industry right now.
✨Tip Number 4
Don't forget to apply through our website! We have some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates. Plus, we love seeing passionate applicants!
We think you need these skills to ace Lead Data Scientist in Farnborough, Hampshire
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Lead Data Scientist role. Highlight your hands-on experience with Generative AI and Large Language Models, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this position. Share specific examples of how you've tackled complex data challenges and contributed to AI solutions in previous roles.
Showcase Your Technical Skills:Don’t forget to mention your experience with transformer architectures, graph databases, and MCP servers. We want to see how you’ve applied these technologies in real-world scenarios, so be specific!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in Farnborough!
How to prepare for a job interview at Talent Locker
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Generative AI and Large Language Models. Be ready to discuss specific projects where you've designed or optimised these models, as well as the challenges you faced and how you overcame them.
✨Showcase Your Hands-On Experience
Prepare to talk about your hands-on experience with building AI models and machine learning solutions. Have examples ready that demonstrate your ability to apply AI techniques to solve complex data problems, especially in secure environments.
✨Collaborate Like a Pro
Since you'll be working closely with engineering and technical teams, think of examples that highlight your collaboration skills. Discuss how you've contributed to AI architecture decisions and worked with stakeholders to drive projects forward.
✨Get Technical with Graph Databases
Be prepared to dive into the technical details of graph databases and MCP servers. Show your understanding of how these technologies support intelligent data relationships and retrieval, and be ready to discuss any relevant experience you have in this area.
