Data Science Intern (Algorithmic Retail)

As a Data Science Intern focused on algorithmic retail, you will work on analysing and modelling fashion retail data to support better planning decisions. Your work will focus on understanding how products perform across seasons, price points, and assortments — and how demand, execution, and structure interact.

You will work with real-world datasets covering sales, inventory, pricing, and assortment structure, helping develop analytical models that identify patterns, inefficiencies, and opportunities. This includes exploring time-series data, building performance metrics, supporting optimisation logic, and contributing to scenario-based analysis used by merchandisers and planners.

This role is suited to someone interested in how data science is applied to real commercial problems — where models inform decisions, not just dashboards.

What you will learn

• How retail performance is analysed at product and assortment level
• How demand signals are separated from execution effects
• How algorithms support assortment structure, pricing, and depth decisions
• How data science models are tested and used in planning workflows
• How to communicate analytical insight to non-technical fashion teams

Who should apply

• Students or recent graduates in data science, applied mathematics, economics, or related fields
• Comfortable working with Python, data analysis libraries, and structured datasets
• Interested in retail, fashion, and applied decision science
• Curious about turning data into insight that shapes real-world outcomes

Career path

This internship can lead to junior data scientist, retail analytics, or planning science roles as the platform and team grow. The role is experience-focused and unpaid, with the possibility of part-time or full-time employment based on performance and future team needs.