Senior Data Scientist, Agentic Systems

Build and deploy AI agents that can interpret, prioritize, and act on information related to geopolitical and financial signals. This includes:

• Develop and continuously improve the tools that connect agents to critical information sources, including web access, semantic and hybrid retrieval, structured-data querying, internal APIs, and knowledge graphs.
• Design, implement, and evaluate agentic workflows and multi-agent systems that effectively balance exploration and exploitation, accuracy and latency, and autonomy and control.
• Define evaluation frameworks and metrics for retrieval quality, agent performance, factual accuracy, and business relevance.
• Partner closely with Research, Product, and Engineering to rapidly prototype, test, and refine new capabilities through short feedback loops.
• Take solutions from prototype to production, including API development, CI/CD pipelines using GitHub Actions, and Kubernetes deployments across multiple environments using core AWS services such as RDS, EKS, and S3.

• Own the full lifecycle of the systems and services you build-from architecture and implementation through deployment, adoption, monitoring, maintenance, and continuous improvement., When you look at any major global crisis event, we’re providing intelligence that’s at the heart of those circumstances. We connect the dots in a way that’s meaningful. As the world continues to evolve in complexity, so too does the demand for our products. Given the significance of our work and the increasing global reliance on our insights, we are looking for a Senior Data Scientist, Agentic Systems to join us as we work to shape the way businesses perceive and navigate global risks. Company Benefits

• Fully-sponsored private health insurance
• Pension plan with 3% employer contribution
• Annual leave plus bank holidays

DISCLOSURES Kharon is committed to cultivating and maintaining a workplace that is free from harassment and discrimination. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, gender, gender identity or expression, sexual orientation or identity, neurodiversity, appearances, age, protected veteran status, or status as a qualified individual with disability. We are committed to making reasonable adjustments to support disabled applicants and employees. If you require any adjustment to participate in the recruitment process, please contact apply@kharon.com You must have the right to work in the UK. Kharon is unable to offer visa sponsorship for this role.

• Interest in or experience with global security, financial crime, sanctions, export controls, or related domains.
• 5+ years of professional experience in AI engineering, data science, software engineering, data engineering, or a closely related role.
• Strong proficiency in Python and SQL.
• Proven experience building and operating RAG pipelines and agentic systems in production.
• Hands-on expertise in search and retrieval, including BM25, vector search, hybrid retrieval, reranking, and retrieval evaluation.
• Experience designing APIs and deploying containerized services using Docker and Kubernetes.
• Demonstrated track record of rapidly prototyping agentic workflows that solve real user or business problems, with the production experience to make pragmatic decisions about what to harden, scale, or discard.
• Strong product judgment and ownership, with the ability to translate ambiguous business requirements into prototypes, define a technical roadmap, and independently drive execution.
• Bonus: Experience with graph-aware retrieval, graph databases, or integrating knowledge-graph outputs into search and agentic systems.

You don’t need to be strong in both tracks below - we’re building a small team that covers the full range between them:*

Track A - Research & Investigation Depth

• This is you if you have a track record of building autonomous systems that drive deep dive investigations into a topic - orchestrating multi-agent workflows, integrating diverse data sources, and building self-correcting evaluation loops that aren’t afraid to test hypotheses and fail gracefully.
• Hands-on expertise in search and retrieval, including BM25, vector search, hybrid retrieval, reranking, and retrieval evaluation.

Track B - Platform & Systems Self-Sufficiency

• This is you if you’re comfortable owning infrastructure end-to-end - deploying a database, designing a schema, shipping an API - without a dedicated platform or DevOps team.*
• Experience designing APIs and deploying containerized services using Docker and Kubernetes.

Bonus: Experience with graph-aware retrieval, graph databases, or integrating knowledge-graph outputs into search and agentic systems - strength in both tracks above is also a plus.

Kharon operates at the nexus of global security and is on a mission to revolutionize the current landscape. We take complex data as it relates to global security and empower our clients to not only understand the risk associated with their potential business relationships but to operationalize that data so that they can make the best and most informed decisions possible. From financial crimes and sanctions to export controls and threat identifications, our tools optimize protection against the types of risks that could otherwise be incredibly dangerous and excessively costly to any business. Serving many of today’s leading global financial and multinational institutions, Kharon products are the most powerful in the space with a precision and depth that is absolutely unparalleled.