Lead Data Scientist

This role exists to provide technical leadership and assurance across data science, ensuring machine learning solutions are designed, built, and operated to a high and consistent technical standard. The role focuses on enabling scalable, reliable delivery of data science solutions aligned to business priorities defined elsewhere. WHAT YOU'LL BE DOING: - Acting as a technical lead for data science , guiding modelling approach and solution design across multiple initiatives. - Working closely with business stakeholders to translate priority use cases into technically sound, production ‑ ready data science solutions . - Providing hands ‑ on technical leadership across the data science lifecycle, from problem framing and modelling through deployment and ongoing optimisation. - Defining and embedding technical standards and best practices for experimentation, validation, documentation, and reproducibility. - Reviewing and challenging technical designs and implementations, providing clear technical direction and sign ‑ off . - Supporting and mentoring data scientists on complex technical challenges. - Partnering with Data Architecture, ML & Data Engineering, and BI teams to ensure solutions are scalable, robust, and production ‑ ready. - Evaluating new techniques and tools, guiding their pragmatic adoption. - Communicating technical assumptions, risks, and trade ‑ offs clearly to technical and non ‑ technical stakeholders. Accountable for: - The technical quality and consistency of data science solutions delivered within assigned domains. - Ensuring solutions meet agreed performance, scalability, reliability, and maintainability standards. - Consistent application of data science standards, reducing delivery risk and technical debt. - Providing ongoing technical assurance that solutions remain fit for production as usage and complexity increase. - Maintaining strong technical partnerships with stakeholders as a trusted advisor. - Raising the overall technical maturity of data science within the organisation WHAT YOU'LL NEED: Essential Criteria: - Extensive experience delivering production ‑ grade , commercially impactful data science solutions , gained in a d ata science or machine learning roles . - Proven experience operating as a senior technical lead, reviewer, or technical sign ‑ off authority. - Strong experience building ML solutions on cloud platforms (GCP, AWS, or Azure). - Advanced expertise in Python and SQL . - Deep applied knowledge of machine learning techniques, including regression, classification, clustering, and time ‑ series forecasting. - Experience supporting production deployment and lifecycle management of ML models. - Strong understanding of data warehousing, data modelling, and modern data architecture. - Excellent communication skills, able to explain technical decisions clearly to non ‑ technical stakeholders. Preferred Skills: - Experience with recommender systems or personalisation use cases. - Familiarity with MLOps concepts and production ML practices. - Demonstrated ability to raise technical standards through influence rather than authority. - Experience in an e ‑ commerce or retail environment. CLOSING DATE: 14th August Find Jobs in United Kingdom on Arbeitnow