About this role
Salary: £? - ? per year
Requirements: Experience in personalisation, recommendations and/or search is preferred.Hands-on experience using Python, SQL and Snowflake to work with large datasets.Experience with machine learning model development and evaluation across search, personalisation and recommendations.Familiarity with model explainability techniques, including SHAP. Responsibilities: Design, build, evaluate and improve machine learning models, taking ideas from experimentation through to measurable customer impact.Explore how agentic AI concepts, including goal-driven systems, multi-step reasoning and tool use, can enhance discovery experiences.Develop features, evaluate models and identify opportunities to improve relevance, engagement and customer experience using large datasets.Use explainability techniques to understand model behaviour and communicate findings to product, engineering and business stakeholders.Work with Data, Product and Engineering teams to shape the models and the direction of the platform. Technologies: Agentic AIAIMachine LearningPythonSQLSnowflakeAI AgentsSupport More:
Were hiring a Data Scientist on an initial three-month contract to help build a next-generation platform for AI-powered product search and discovery. The role is based in Manchester with hybrid working, and youll join our high-performing, growing Data Science team. Our work spans agentic search, recommendation engines, personalisation, search relevance and ranking, AI augmentation, and explainable AI. This is a production-focused role, with work intended to directly influence customer experience. We expect start dates no later than 19 October and will shortlist during the week commencing 5 October.
last updated 41 week of 2026