Senior Data Scientist

Senior Data Scientist – AI/LLM Trading Platform Overview We are looking for an experienced Senior Data Scientist to design and implement a high-performance data pipeline for an AI/LLM-powered trading platform. This role involves handling large-scale, unstructured financial data—such as articles, books, and research papers—by collecting, extracting, cleaning, and structuring it for machine learning and trading strategies. What You’ll Do Develop Scalable Data Pipelines – Design and maintain an efficient pipeline to process unstructured data for AI/LLM models. Process Unstructured Text Data – Extract and prepare data from diverse sources, including financial literature and research. ETL & Data Engineering – Build ETL workflows that unify data from multiple sources into a structured format. Ensure Data Quality – Implement validation techniques and anomaly detection for data integrity. Collaborate Across Teams – Work closely with quant researchers, AI/ML engineers, and trading professionals. Automate & Optimize – Streamline data ingestion, transformation, and storage for efficiency and scalability. What We’re Looking For Education & Experience – Strong academic background in Data Science, Machine Learning, AI, or a related field. Technical Skills – Proficiency in Python, SQL, ML frameworks (TensorFlow, PyTorch, scikit-learn), and at least one OOP language (Rust, C++, C#). AI & NLP Expertise – Hands-on experience with LLMs, NLP, and AI-driven data processing. Financial Data Experience – Understanding of market data structures and working with financial datasets is a plus. Cloud & API Knowledge – Familiarity with APIs, cloud computing (AWS, GCP, Azure), and database management. Problem-Solving Mindset – Ability to tackle complex data challenges in a trading environment. Bonus Points Background in quantitative finance or trading research. Experience with real-time data streaming architectures. Exposure to cryptocurrency markets. If you're passionate about AI, finance, and cutting-edge data solutions, we'd love to hear from you!

Location: London, GB

Posted Date: 5/1/2025