Captain is a data analytics platform that enables brands and retailers to collaborate more effectively. By providing producers with the right insights and predictions, they can better manage how their products reach consumers. This is essential as we believe there are still too many inefficiencies in the supply chain.
Over the past year, weve built a solid technical foundation and secured several leading clients, especially in the food industry. Were currently expanding rapidly, backed by EU funding to develop models for price elasticity, demand forecasting, and assortment rationalization all aimed at enabling data-driven category management.
About the RoleThis is a pivotal role for us and can be for you too. We are looking for a Data Scientist with experience in Category Management, either on the retailer or supplier side. You will help us integrate complex data sources and build scalable models that create real value for our clients.
Your work will focus on bringing together syndicated and proprietary datasets (e.g., Nielsen, Circana, GfK, SIS, 7EVEN, ex-factory) and transforming them into insights and predictions that help our clients win with retail. This role is both analytical and strategic youll be closely involved in product development, pilot projects, and customer delivery.
Youll be working in a small, fast-moving team which means youll get a lot of responsibility early on, but also have the chance to learn and grow quickly. Youll be close to the decision-making and directly see the impact of your work on real client projects.
Your ProfileBonus points if you have:
We keep it simple and personal. After your application, well reach out for a conversation with our team. No unnecessary rounds just a chance to get to know each other and explore fit.
How to ApplyApply directly through LinkedIn! Were excited to hear how your experience in category management can help our clients grow and how you want to grow with us.