Senior Data Scientist - Consulting

• 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

• 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

They are a data-driven SaaS business that helps organisations make better commercial decisions through advanced analytics and machine learning. Their products support businesses across a variety of consumer-focused sectors, transforming complex datasets into practical insights. With an expanding client base and ambitious growth plans, they are continuing to invest in their Data Science capability and product innovation.