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MRJ Recruitment

Data Scientist (Contract)

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Summary

Three-month contract Data Scientist, hybrid in Manchester, building an AI-powered product search and discovery platform. Day to day: design, build and evaluate ML models for search, personalisation and recommendations using Python, SQL and Snowflake, apply explainability (SHAP) and explore agentic AI concepts.

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 AI
  • AI
  • Machine Learning
  • Python
  • SQL
  • Snowflake
  • AI Agents
  • Support

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 40 week of 2026

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