Data Scientist

Data Scientist \| Permanent \| Hybrid working in London \| **The Role** You will drive the development of machine learning systems that power a global exchange and data platform. You will work at the intersection of NLP, recommendation systems, and time\-series forecasting, building production\-grade solutions that directly impact trading decisions. This role offers the opportunity to work on semantic search, hybrid recommendation engines, and predictive models. **What You’ll Do** * NLP \& Search: Design and deploy models for entity matching, semantic search, and text classification. * Recommender Systems: Build engines combining collaborative filtering, content\-based filtering, and business rule layers. * Forecasting: Develop time\-series models to predict market trends and pricing dynamics. * Transformer Models: Fine\-tune and deploy models such as BERT and sentence transformers for production use. * ML Pipelines: Implement pipelines on cloud infrastructure using PySpark for large\-scale data processing. * Collaboration: Work with engineers to integrate models via REST APIs and batch processing. **What We’re Looking For** * Experience: 3\+ years in data science or ML engineering, taking projects from research to production. * Education: Bachelor's degree or higher in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Physics; PhD welcome). * NLP Expertise: Hands\-on experience with modern NLP, including transformer models, embeddings, and semantic search (RAG systems highly desirable). * Foundational ML: Strong foundation in statistical learning, classical ML (random forests, gradient boosting), and model validation.