Defence AI Data Scientist – LLMs, RAG & Graphs (SC)

Addition; Farnborough; Hybrid; GBP 50,000 - 80,000; Full time

Benefits offered by this job

Professional development and training support

Competitive salary and bonus

Hybrid working

Job summary

Addition is looking for a Data Scientist to join their team in Farnborough, UK. This role focuses on developing AI and Machine Learning solutions to support Defence and National Security programs. You will work with advanced technologies including Large Language Models and Graph Technologies to solve complex operational problems.

The ideal candidate will have strong Python skills and experience in data science, along with an active SC Clearance. The position offers hybrid working and a competitive salary with additional benefits.

Qualifications

• Active SC Clearance.
• Experience as a Data Scientist or similar role.
• Strong Python development skills.
• Hands-on experience with LLMs and Generative AI.
• Knowledge of graph databases like Neo4j.
• Experience with data modelling and pipelines.

Responsibilities

• Designing AI and Machine Learning solutions.
• Developing LLM applications and RAG architectures.
• Collaborating with software engineers and product teams.
• Supporting AI model evaluation and optimisation.
• Contributing to AI strategy and innovation.

Skills

Python

Machine Learning

Large Language Models

AI Engineering

Graph Technologies

Data Engineering principles

Statistical Analysis

Data Science Libraries

Communication Skills

MLOps

Tools

Neo4j

AWS

Azure

GCP

Job description

Addition is looking for a Data Scientist to join their team in Farnborough, UK. This role focuses on developing AI and Machine Learning solutions to support Defence and National Security programs. You will work with advanced technologies including Large Language Models and Graph Technologies to solve complex operational problems.

The ideal candidate will have strong Python skills and experience in data science, along with an active SC Clearance. The position offers hybrid working and a competitive salary with additional benefits.