Senior Data Scientist, Graph Risk Analytics
Hybrid London Full-time Senior Data Science
At a glance
Senior Data Science role at Kharon. London · full-time · £105,000–£120,000 base.
SalaryStated by Kharon
£105,000 – £120,000
Base salary for this role, in GBP per year, as published in the posting.
This role, from KharonOur estimate for the market: £105,000–£112,500Median £108,750
The range includes the market median of £108,750 for senior data science roles in London.
Worked out from 9 postings that stated pay, median £108,750. Last updated Oct 6, 2026.
RoleData Science
SenioritySenior
LocationLondon
WorkplaceHybrid
EmploymentFull-time
Base pay£105,000–£120,000
PostedAug 3, 2026 · 2mo ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Run the production system that assesses knowledge-graph entities and brings useful risk indicators to customers
- Turn complex geopolitical and financial concerns into analytical rules and outputs people can interpret
- Build and support scalable pipelines and graph-based machine-learning systems for risk scoring and entity analysis
- Work with Research, Product, and Engineering to turn changing risk frameworks into durable systems
- Evolve the live system’s architecture and explore AI methods for more complex risk logic
What you bring
- At least four years as a data scientist, including ownership of systems running in production
- Strong statistical grounding and the ability to use quantitative methods on complex real-world questions
- Working ability in Python, SQL, and graph databases or knowledge-graph structures
- Experience with Docker, Kubernetes, and API development
Who this fits
This senior role suits someone who can work across research, data engineering, and product needs while keeping customer outcomes in view. It is based in London and requires a hybrid schedule with three office days each week.
From the employer
Location: London, UK Annual Remuneration: £105,000 - £120,000 and discretionary annual bonus Pay Frequency: Monthly Probationary Period: 180 days Work Arrangement: Hybrid, 3-days per week
TL;DR Kharon is seeking a full-time Senior Data Scientist, Graph Risk Analytics based in London. Responsibilities:
TL;DR Kharon is seeking a full-time Senior Data Scientist, Graph Risk Analytics based in London. Responsibilities:
- Taking ownership of Kharon's risk propagation and entity analytics system — the engine that evaluates entities in our knowledge graph and surfaces meaningful risk signals to customers
- Designing and implementing complex analytical logic that translate nuanced geopolitical and financial risk into structured, interpretable outputs
- Building and maintaining scalable data pipelines and graph-based ML systems that power risk scoring and entity analysis
- Partnering closely with Research, Product, and Engineering teams to understand evolving risk frameworks and translate them into robust, maintainable systems
- Iterating on the system's architecture to increase the complexity and precision it can handle — this is not a rip-and-replace, but a thoughtful evolution of a system already in production
- Exploring how LLMs and other AI techniques can be integrated to handle increasingly complex risk logic
- A proven interest or experience in global security, financial crimes, sanctions, export controls, or related domains
- 4+ years of experience as a Data Scientist, with demonstrated ownership of production systems
- Strong foundation in statistics and the ability to apply quantitative methods to complex, real-world problems
- Proficiency in Python, SQL, and working with graph databases or knowledge graph structures
- Experience with graph analysis, graph ML, or network analysis — professional experience is a strong differentiator
- Comfort working across research and data engineering contexts — this role spans all three
- Experience with Docker, Kubernetes, and API development
- Strong product instincts — able to go deep technically while staying aligned to customer and business outcomes
- Bonus: Experience with LLMs or AI-assisted analytical systems
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