Graph Data Science Specialist
Posted 3 days ago by Hays
Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: The Graph Data Science Specialist role involves designing and optimizing graph data structures on Amazon Neptune to enhance operational excellence within a regulatory body in the UK. The position requires collaboration with non-technical stakeholders to generate insights and implement graph algorithms and machine learning techniques. The role is based in Stratford, London, and offers a competitive day rate. The contract duration extends until March 31, 2026.
Key Responsibilities:
- Design and optimise graph data structures on Amazon Neptune for analytical workloads to enhance operational excellence
- Collaborate with non-technical stakeholders to identify opportunities and generate critical insights to enhance business operations
- Implement graph algorithms and graph ML techniques (e.g., link prediction, node classification, anomaly detection) using Neptune Analytics
Key Skills:
- Proven experience with Amazon Neptune or Neo4j in production settings
- Prior experience with graph analyticals and graph machine learning workflow and embeddings
- Proven experience in (open)Cypher and/or Gremlin query languages
- Strong communication skills, both written and oral
- Strong programming skills in Python and SQL
- Awareness of cloud based deployments and DevSecOps principles
- Familiarity with AML/FinCrime typologies (e.g., mule networks, sanctions evasion, beneficial ownership)
Salary (Rate): undetermined
City: Stratford
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: Other
Graph Data Science Specialist
Duration: Until 31st March 2026
Day rate: Up to £675 Per Day
Location: Stratford, London
Your recruitment contact is Sartaj via Sartaj.Deol@hays.com.
About the organisation
Our client is an independent regulatory body in the UK responsible for ensuring the financial markets work well for the consumers and the economy, promoting market integrity and effective competition.
Role Responsibilities: (Up to 5 points selling the role)
- Design and optimise graph data structures on Amazon Neptune for analytical workloads to enhance operational excellence
- Collaborate with non-technical stakeholders to identify opportunities and generate critical insights to enhance business operations
- Implement graph algorithms and graph ML techniques (e.g., link prediction, node classification, anomaly detection) using Neptune Analytics
Skills:
Minimum:
- Proven experience with Amazon Neptune or Neo4j in production settings
- Prior experience with graph analyticals and graph machine learning workflow and embeddings
- Proven experience in (open)Cypher and/or Gremlin query languages
Essential:
- Strong communication skills, both written and oral
- Strong programming skills in Python and SQL
- Awareness of cloud based deployments and DevSecOps principles
- Familiarity with AML/FinCrime typologies (e.g., mule networks, sanctions evasion, beneficial ownership).
Disability Confident: our hiring approach
We’re proud to be a Disability Confident Employer, and therefore, people or individuals with disabilities and long-term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process. In cases of high application volumes, we may progress applicants whose experience most closely matches the role’s key requirements.
What are the next steps?
If you are interested in the role, click the apply button and we will get in touch with you to discuss next steps.