Principal Data Scientist | RegTech SaaS | London (Hybrid)
A market-leading SaaS business in the RegTech space is looking for a Principal Data Scientist to architect and scale their AI-driven compliance and regulatory intelligence platform. This business provides critical infrastructure that automates complex regulatory workflows and risk management for the world’s largest financial institutions and law firms.
You will lead the transition from traditional NLP to advanced Generative AI, building production-ready systems that handle massive volumes of unstructured regulatory data.
The Role
As the technical authority for AI, you will be responsible for the end-to-end lifecycle of AI features. You will work closely with Engineering and Product leads to move beyond R&D, shipping scalable LLM-based solutions that solve high-stakes compliance and data-reasoning challenges.
Key Responsibilities
* AI Architecture: Architect advanced RAG and Graph-based retrieval systems to enable precise "multi-hop" reasoning across complex regulatory frameworks.
* LLM Orchestration: Design and deploy production systems using Claude, Amazon Bedrock, or GPT-4, focusing on high-fidelity information extraction and summarization.
* Production MLOps: Establish rigorous evaluation frameworks for model accuracy, hallucination detection, and risk scoring—essential for a regulated SaaS environment.
* Technical Strategy: Drive the AI roadmap, selecting the right tools and frameworks (Vector DBs, Agentic workflows) to maintain a competitive edge in RegTech.
Technical Requirements
* Applied AI Experience: Extensive background in deploying Generative AI and LLMs within a live SaaS product environment.
* Core Stack: Expert-level Python and experience working within AWS serverless architectures; familiarity with TypeScript or Java is a plus.
* Complex Data: Proven track record in Information Retrieval, using Vector Databases (OpenSearch/Elasticsearch) and Knowledge Graphs to manage unstructured data.
* RegTech/FinTech Background: Experience navigating the accuracy and security requirements of highly regulated industries.
* Seniority: 8+ years in Data Science with significant experience in a technical leadership or principal-level role.
#J-18808-Ljbffr