Data Scientist (Fintech)

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.