Data Scientist

We're working with a premier global credit ratings and financial intelligence powerhouse on this exciting opportunity. Join a high-impact team building a ground-up analytics platform for elite institutional clients using cutting-edge Generative AI. This role is a perfect fit for a hands-on expert who wants to bridge the gap between complex NLP research and scalable, real-world financial risk solutions. The Role • Design and optimize advanced risk models using proprietary NLP data generation processes and LLM orchestration. • Develop and maintain robust Machine Learning pipelines for rapid experimentation and production deployment. • Prototype innovative approaches for extracting strategic insights from massive structured and unstructured financial datasets. • Collaborate with economists and developers to translate complex ML/NLP model outputs into actionable intelligence for asset managers. • Implement best practices in CI/CD and deployment workflows to ensure model reliability and scalability. What You'll Need • 5-7+ years of professional experience in Data Science with a heavy focus on Production Machine Learning. • 3-5 years of deep expertise in Natural Language Processing (NLP) and text analytics. • Proven proficiency with Python and GenAI frameworks such as LangChain or LlamaIndex. • Strong understanding of the deployment lifecycle and CI/CD practices for troubleshooting ML pipelines. • Previous experience in Risk Modeling or within Financial Services (FinTech/Banking) is highly advantageous. What's On Offer • Competitive day rate of £427 - £565 (Inside IR35). • Fully remote working flexibility within the UK. • 6-month initial contract with high potential for long-term extension. • Opportunity to work on a "from-scratch" greenfield analytics project for global institutional clients. Apply via Haystack today!