> Markdown version of [/jobs/ext/3724763-senior-data-scientist-consulting](https://www.wearedevelopers.com/jobs/ext/3724763-senior-data-scientist-consulting). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - Consulting - **Company:** Harnham - **Location:** London, UK - **Experience:** Expert - **Salary:** £75,000.0 - £85,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Software Quality, Python (Programming Language), Machine Learning, Standard Sql, Feature Engineering, GitHub Copilot, Large Language Models, Prompt Engineering, Build Management, Claude - **Published:** October 14, 2026 - **Apply:** https://www.reed.co.uk/jobs/senior-data-scientist-consulting/57456306 ## About the Role * Strong commercial experience in Data Science and Machine Learning * Advanced Python and SQL skills with experience building production-ready models * Expertise across forecasting, predictive modelling, customer segmentation, and classification techniques * Experience working with AI-assisted development tools such as GitHub Copilot, Claude, Codex, or similar to improve productivity and code quality * Understanding of LLM applications, prompt engineering, and practical AI use cases within analytics workflows * Excellent stakeholder management skills with the ability to translate technical outputs into clear business recommendations ## Description * Build and deploy machine learning models across forecasting, customer segmentation, and propensity modelling * Own projects across the full model lifecycle, from data exploration and feature engineering through to deployment and monitoring * Partner with Product, Engineering, and commercial teams to deliver scalable analytical solutions * Translate complex findings into clear, actionable recommendations for stakeholders * Support the development of data science standards, validation frameworks, and best practices * Mentor junior team members and contribute to a collaborative data science culture