Graph Database Specialist

3 days ago


London, Greater London, United Kingdom Amber Labs Full time
Nuclear Sector Graph Data Analyst

About Amber Labs

Amber Labs is a leading technology consultancy providing exceptional value to clients through empowerment, experimentation, and rapid learning. Our collaborative culture focuses on minimising risk and shortening delivery times.

We are seeking a highly skilled Graph Data Analyst to join our End-User Computing (EUC) team within the Nuclear Sector. The successful candidate will play a key role in designing, analysing, and leveraging graph data models to support complex nuclear operations, research, and safety processes. An estimated salary of £70,000 to £90,000 per annum is expected for this role, depending on experience.

**Job Responsibilities**

The successful candidate will be responsible for designing and implementing graph-based data models for analysing complex relationships within nuclear engineering, safety, and operations systems using tools like Neo4j, GraphX, and Gremlin. They will conduct exploratory data analysis (EDA) and use graph algorithms (e.g., pathfinding, community detection, centrality) to gain insights from complex datasets. Additionally, they will develop and deploy machine learning models on graph structures for predictive analytics, anomaly detection, and risk analysis, supporting nuclear operations and safety requirements. Required skills include a Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field. Essential skills include strong experience with graph database technologies, proficiency in graph query languages, and expertise in applying graph theory, graph algorithms, and network analysis in data science projects.

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