Data Scientist
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Job Description
Data Scientist building NLP and LLM models for Chattermill’s customer experience intelligence platform. Developing retrieval, fine-tuning, evaluation, and sentiment-analysis systems for major brands.
Responsibilities:
- Train, evaluate, and iterate on machine learning models for customer feedback tasks
- Contribute to custom fine-tuning pipelines and run rigorously documented experiments
- Build and maintain LLM-powered features, including retrieval pipelines, reranking systems, and insight generation
- Contribute to evaluation frameworks by building test sets, defining metrics, and assessing model quality
- Work on semantic search and retrieval using embedding-based and other approaches
- Write clean, well-tested code
- Collaborate with Engineering on model integration, data pipelines, and monitoring
- Translate business and product requirements into practical ML experiments and solutions
- Follow relevant research and bring useful ideas into team discussions and experiments
Requirements:
- Solid working knowledge of transformer architectures and their application to NLP tasks
- Proficiency in PyTorch, including training loops and standard model fine-tuning workflows
- Experience with real-world text data across classification, extraction, embeddings, or search at meaningful scale
- Exposure to instruction fine-tuning or model serving
- Grounding in classical machine learning and statistics
- Familiarity with GenAI and agentic patterns
- Clear communication skills and ability to explain technical work across functions
- Curiosity about AI and experimentation mindset
- Strong ownership instincts
- Role based in the UK
- MSc in Computer Science, Machine Learning, AI, Data Science, Computational Linguistics, or a closely related STEM field is listed as a bonus
Benefits:
- Opportunity to join the company equity scheme
- Flexible working in a choice-first environment
- Work-from-home allowance
- 25 days holiday plus local bank holidays
- Extra day off for each year of service
- Birthday off
- Annual learning and development budget
- Equity options
- Monthly health and wellbeing budget
- Optional private healthcare plan
- Life assurance and income protection (location dependent)
- Employee Assistance Programme (location dependent)
- Enhanced family leave, fertility leave, and neonatal leave (location dependent)
- London dog-friendly office with classes, events, and rooftop terrace
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