Data Scientist

📋 Description Train, evaluate, and iterate on ML models for customer feedback tasks, contributing to our custom Build and maintain LLM-powered features including retrieval pipelines, reranking systems, and Contribute to evaluation frameworks: help build test sets, define metrics, and assess model quality Work on semantic search and retrieval, developing a strong working understanding of embedding-based Write clean, well-tested code and collaborate with Engineering on model integration, data Work with the wider Data Science team to translate business and product requirements into practical 🎯 Requirements A solid working knowledge of transformer architectures and how they are applied in NLP tasks Proficiency in PyTorch, including training loops and standard model fine-tuning workflows; exposure Experience working with real-world text data across tasks such as classification, extraction Some exposure to instruction fine-tuning or model serving, with an interest in going deeper A grounding in classical ML and statistics, and the instinct to reach for simpler methods when Familiarity with GenAI and agentic patterns, even if hands-on production experience is still 🎁 Benefits Flexible working in a choice-first environment Work-from-home allowance to set up your ideal workspace 25 days holiday, birthday off, and additional day for each year of service Annual learning & development budget Equity options Monthly health & wellbeing budget increasing with length of service