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