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:
As a Merchandising Data Scientist, you'll be doing the following:
* 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:
Essential
* Demonstrable commercial experience
* 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
Desirable
* 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.