Merchandising Data Scientist

JD Sports- Head Office, Warwick House, Bury, Bury, United Kingdom

Job Description

As a Merchandising Data Scientist, you will build predictive and prescriptive models that improve merchandising decisions – including demand forecasting, pricing & promotions, assortment, and replenishment. You will partner closely with product, application, and data teams to ensure models are reliable, explainable, and deliver measurable business impact.

What You’ll Be Doing:

• Contribute to the planning and scoping of new model development to meet merchandising objectives.
• Work with senior data scientists to implement new solutions to merchandising use cases.
• Support exploratory analysis, data preparation, and testing activities.
• Improve existing merchandising models through model and feature refinement.
• Retrain models on updated datasets and ensure retraining pipelines remain effective.
• Evaluate model performance using appropriate metrics and diagnostic techniques.
• Monitor production models for drift, stability issues, and commercial relevance.
• Document models, processes, and experiment results to maintain transparency and reproducibility.

What We’re Looking For:

• Knowledge of retail AI/ML/data science use cases.
• Strong numerical skills and confidence working with data.
• Excellent organisational skills with the ability to prioritise workload effectively
• Experience with Merchandising processes
• Competent in Python, SQL, and common data science libraries.
• Skills in exploratory data analysis, problem solving, and identifying patterns in data.
• Experience in data science, analytics, or machine learning, training will be provided.

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