Agentic Discovery & Personalisation Scientist

MRJ Recruitment Limited

Lancashire

Hybrid

GBP 83,000 - 124,000

Full time

3 days ago
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Job summary

MRJ Recruitment Limited is seeking a Data Scientist for an initial 3-month contract to help build the next-generation intelligent discovery platform. The role focuses on agentic search, personalization, recommendations, and AI-powered discovery journeys.

You'll design and implement ML models in Python, SQL and Snowflake, with production-ready outputs and collaborating with Data, Product and Engineering teams in a Manchester hybrid setup.

Responsibilities

  • You'll design, build, evaluate and improve machine learning models across search, personalisation and recommendations, taking ideas from experimentation through to measurable customer impact.
  • You'll explore how agentic AI concepts, including goal-driven systems, multi-step reasoning and tool use, can enhance discovery experiences and create entirely new ways for customers to interact with the platform.
  • Using Python, SQL and Snowflake, you'll work hands-on with large datasets, developing features, evaluating models and identifying opportunities to improve relevance, engagement and customer experience.
  • Model explainability will also be important. You'll use techniques including SHAP to understand model behaviour and turn complex outputs into clear stories that product, engineering and business stakeholders can act on.
  • You'll work closely with teams across Data, Product and Engineering, helping shape not only the models but the direction of the next generation of the platform.

Job description

MRJ Recruitment Limited is seeking a Data Scientist for an initial 3-month contract to help build the next-generation intelligent discovery platform. The role focuses on agentic search, personalization, recommendations, and AI-powered discovery journeys.

You'll design and implement ML models in Python, SQL and Snowflake, with production-ready outputs and collaborating with Data, Product and Engineering teams in a Manchester hybrid setup.

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