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, offering innovative projects.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Active SC Clearance needed; excellent career advancement opportunities await.
- Why this job: Make a real impact by developing cutting-edge AI solutions in a dynamic team.
- Qualifications: Strong experience with AI models, LLMs, and machine learning techniques 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.
Lead Data Scientist in Farnborough 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
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field, especially those who work with Generative AI or Large Language Models. 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 best AI/ML projects, especially those involving complex datasets and scalable solutions. This will give potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI and machine learning. Be ready to discuss your hands-on experience with transformer architectures and graph databases. Confidence in your knowledge can really set you apart!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Lead Data Scientist in Farnborough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Generative AI and Large Language Models. We want to see how your skills align with the key responsibilities of the Lead Data Scientist role, so don’t hold back on showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your hands-on experience can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Technical Skills:When detailing your experience, be specific about the AI/ML solutions you've built. Mention the tools and frameworks you’ve used, especially around transformer architectures and graph databases. We’re keen to see your technical prowess!
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 the role. Plus, it makes the process smoother for everyone involved!
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 you've worked on, especially those involving transformer architectures and convolutional models. This will show that you're not just familiar with the concepts but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex data problems you've solved using AI and ML techniques. Think of examples where you designed scalable solutions or optimised existing models. This will demonstrate your hands-on experience and ability to deliver results in challenging environments.
✨Collaborate Like a Pro
Since you'll be working closely with engineers and technical teams, highlight your collaboration skills. Share examples of how you've successfully partnered with others to drive AI capabilities forward. This will show that you can work well in a team and contribute to the overall success of projects.
✨Understand the Security Aspect
Given the secure environments you'll be operating in, it's crucial to understand the implications of working with sensitive data. Familiarise yourself with SC Clearance requirements and be prepared to discuss how you ensure compliance while developing AI solutions. This will reflect your awareness of the industry's standards and practices.
