Data Scientist

Analyse chatbot outputs and identify the improvements with the greatest impact. Diagnose context gaps and determine what additional information agents require. Partner with product managers and engineers to define evaluation criteria for agent performance. Work directly with use-case teams and stakeholders to understand real-world scenarios and translate feedback into improvements. Improve retrieval mechanisms, data structuring, and onboarding of contextual sources. Design evaluation frameworks that enable rapid, large-scale experimentation and continuous innovation. Translate functional requirements into actionable technical improvements.

Your Talent: You bring a strong analytical mindset and a passion for understanding why AI systems behave the way they do; Strong understanding of GenAI systems. Experience with LLM-based applications. Experience with retrieval-augmented systems. Strong understanding of prompts, context windows, retrieval, and grounding. Ability to evaluate output quality and explain why results are effective or ineffective.

Technical Integration Skills: Familiarity with API integrations, batch synchronisation, and structured and unstructured data. Comfortable collaborating closely with engineers. Ability to troubleshoot data flow and context ingestion issues.

Analytical and Evaluative Mindset: Ability to design evaluation frameworks beyond traditional machine learning metrics. Understanding of functional context and user behaviour. Ability to operate effectively between engineering and product domains. Ability to explain context gaps and reasoning to engineers, product managers, and stakeholders. Ability to create clear and effective improvement proposals.

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