At a Glance
- Tasks: Design and develop AI solutions for Defence and National Security challenges.
- Company: Innovative tech organisation focused on cutting-edge AI and data-driven solutions.
- Benefits: Hybrid working, competitive salary, professional development, and access to advanced AI technologies.
- Other info: Join a dynamic team with opportunities for growth and innovation.
- Why this job: Make a real impact in national security using AI and advanced analytics.
- Qualifications: Experience in data science, strong Python skills, and knowledge of LLMs and graph databases.
The predicted salary is between 63000 - 77000 £ per year.
Security Clearance
Active SC Clearance Required
Type
- Contract
- Shape the Future of AI in National Security
We're supporting an innovative technology organisation delivering cutting-edge AI and data-driven solutions into Defence and National Security environments.
As they continue to expand their advanced analytics and AI capabilities, they're looking for an experienced
Data Scientist to join their growing team in Farnborough.
This is an opportunity to work on complex, mission-critical challenges where Artificial Intelligence, Large Language Models (LLMs), Graph Technologies, and advanced analytics are helping solve real-world operational problems.
- What You'll Be Doing
- Designing and developing AI and Machine Learning solutions to support Defence and National Security programmes
- Building and deploying Large Language Model (LLM) applications and Retrieval-Augmented Generation (RAG) architectures
- Developing solutions leveraging graph databases and knowledge graph technologies to uncover complex relationships and patterns
- Applying statistical analysis, machine learning, and predictive modelling techniques to large-scale datasets
- Working with structured and unstructured data sources to deliver actionable intelligence and insights
- Collaborating with software engineers, architects, and product teams to operationalise AI solutions
- Supporting the evaluation, testing, and optimisation of AI models within secure environments
- Contributing to AI strategy, innovation, and research initiatives across the organisation
What We're Looking For
- Active SC Clearance
- Experience working as a Data Scientist, Machine Learning Engineer, AI Engineer, or similar role
- Strong Python development skills and experience with modern data science libraries
- Hands‑on experience with Large Language Models (LLMs), Generative AI, and prompt engineering
- Experience designing and implementing RAG solutions
- Knowledge of graph databases such as Neo4j, Amazon Neptune, Tiger Graph, or similar
- Experience developing machine learning and predictive analytics solutions
- Strong understanding of data modelling, data pipelines, and data engineering principles
- Familiarity with cloud environments such as Azure, AWS, or GCP
- Excellent communication skills with the ability to explain complex technical concepts to varied stakeholders
- Knowledge of Knowledge Graphs and Graph Analytics
- Experience working within Defence, National Security, Government, or highly regulated environments
- Exposure to MLOps and model deployment practices
- Experience with vector databases and semantic search technologies
- Understanding of AI governance, ethics, and security considerations
- What's on Offer
- Hybrid working from Farnborough
- Opportunity to work on genuinely impactful Defence and National Security programmes
- Access to cutting‑edge AI technologies and research
- Professional development and training support
- Competitive salary, bonus, pension, and benefits package
If you're passionate about AI, LLMs, Graph Technologies, and applying data science to solve complex real-world challenges, we'd love to hear from you.
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Data Scientist in Farnborough employer: Addition
Join a leading consumer brand that prioritises innovation and collaboration, offering a dynamic work environment in the heart of London. As a Digital UI Designer, you'll have the chance to significantly impact the online experience for millions while working alongside talented professionals in a supportive studio team. With a strong focus on employee growth and a commitment to diversity, this role provides an exciting opportunity to contribute to meaningful projects within the thriving hospitality and ecommerce sectors.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Farnborough
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Addition!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Addition.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Addition.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Addition, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist in Farnborough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Addition, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Addition. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Addition
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Addition!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
