Job description
£800-900 pd
Hybrid working
Graph Data Scientist required to join Data Science team working on a greenfield implementation programme.
As an experienced Data Scientist, you will have a strong understanding of graph theory and algorithms and experience with graph databases such as Neo4j or TigerGraph. In this role, you will develop and implement graph-based solutions to various business problems. You will be responsible for setting up graph-based predictive analytics from scratch.
Responsibilities:
Develop and implement graph-based solutions to business problems
- Design and build scalable and performant graph-based systems
- Work with other data scientists, engineers, and product managers to define and implement graph-based data models
- Work with stakeholders to gather requirements and translate them into technical specifications
Stay up-to-date on the latest advances in graph theory, algorithms, and graph databases
Skills:
Experience with graph databases such as Neo4j or TigerGraph
- Strong understanding of graph theory and algorithms
- Understanding of pathfinding and centrality
- Experience with machine learning and natural language processing
- Excellent problem-solving and analytical skills
- Experience with cloud computing platforms, ideally Azure (AWS, GCP considered)
Experience with data visualization tools such as Tableau and Power BI
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