Opportunity Details

Head of Data Science
Posted: 03/24/2026
Client name: Client Name Text
Job Function: E-commerce
Source: Source Text
Location: Leicester, Leicestershire, United Kingdom
Posted: 03/24/2026
Description

This is a rare opportunity to lead the data science function for a leading ecommerce organization that places data at the center of its customer and commercial strategy. The client is looking for someone to shape the vision, build the road-map, and drive the adoption of advanced data products that power exceptional digital experiences. The organization is a retailer with a strong focus on using data to innovate, optimize, and enhance customer engagement. They are committed to a modern, product-driven environment and invest heavily in analytics, experimentation, and intelligent automation as part of their digital transformation strategy.

The role involves leading the development of data architecture, models, analytics, and reporting to support vital digital products and customer journeys. The successful candidate will provide strategic leadership by owning and driving the data science roadmap, focusing on areas such as digital advertising platforms, product search and recommendation engines, personalization across various channels, and data-driven commercial optimization. The position requires a strong ability to deliver data science solutions in digital or ecommerce environments, coupled with proven experience setting data science strategies and influencing senior stakeholders.

Ideal candidates will have expertise in designing and scaling machine learning models, including agentic or automation-driven approaches. A deep understanding of data architecture, experimentation, and analytics for digital products, as well as experience in leading and developing data science teams, is essential. The role offers autonomy to establish the data science vision for a high-growth digital business, potential for career progression as the data function scales, and a modern, collaborative environment with substantial investment in data and technology. Interested individuals are encouraged to pursue the application process through the appropriate channels.

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