TL;DR
Data Scientist (Fintech): Designing and deploying machine learning-driven solutions to extract and analyze private markets financial data with an accent on NLP, OCR, and LLM integration. Focus on building production-grade ML pipelines, developing scalable analytics tools, and ensuring system reliability within a high-growth SaaS environment.
Location: Must be based in London or able to work in a hybrid capacity
Salary: Up to £70,000
Company
A fast-growing private markets data platform transforming how private equity firms access and utilize financial intelligence.
What you will do
- Build scalable data extraction pipelines using OCR and NLP for private markets documentation.
- Deploy LLMs into real-world workflows including prompt design and response optimization.
- Develop ML-driven analytics to improve product usage and operational performance.
- Create lightweight internal tools using Streamlit to facilitate rapid experimentation.
- Collaborate with cross-functional teams to integrate reliable ML systems into production.
- Implement rigorous testing protocols to ensure long-term model reliability.
Requirements
- Strong Python proficiency for data workflows and applied machine learning.
- Practical experience delivering ML projects involving NLP or OCR technologies.
- Demonstrable success building and deploying production-grade ML systems end-to-end.
- Hands-on familiarity with tools such as SQL, LangChain, Databricks, and Docker.
- Comfortable working in small, fast-moving teams with a product-first mindset.
Culture & Benefits
- Work directly on impactful AI systems applied to complex, real-world financial datasets.
- Opportunity to contribute to a rapidly growing SaaS platform in the private markets sector.
- Engage in technical, hands-on development that directly impacts product features.
- Work within a highly technical and collaborative team environment.
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