Simbe is building the AI-powered operating system for physical retail. Our autonomous robots and multimodal data collection systems turn complex, constantly changing stores into accurate, actionable intelligence for leading retailers around the world. Simbe combines robotics, computer vision, machine learning, data infrastructure, and analytics to help retailers improve shelf availability, inventory accuracy, store execution, and operational decision-making.
Simbe is looking for a Data Analytics & Data Science Intern to join our Data Science & Analytics team and help turn large-scale retail and robot data into reliable insights, analytical products, and internal tools.
This internship is designed for students who want hands-on experience working with production data systems and solving real analytical problems at the intersection of data engineering, analytics, AI, and robotics.
Result Driven — We are customer-centric and results-driven. We strive to create immense value for our team, partners, customers, and investors.
Empathetic — We are sensitive and mindful. We support each other in challenging times, both professionally and personally.
Transparent — We value open communication internally, and with our partners and customers. We are receptive to feedback.
Agile — We are eager to learn and adapt quickly to changes and customer needs.
Innovative — We are bold and innovative, with an intense focus on product design, user experience, and customer value.
Leaders — We strive for excellence. We are accountable, the best at what we do, and leaders in our field.
Simbe, the global leader in retail shelf digitization, is the trusted partner for retailers confronting today's most critical challenges: 66% of "out-of-stock" items hidden within stores, 90% of pricing errors missed by manual audits, and 95% labor attrition. As the market leader across a dozen retail sectors globally, our unique combination of AI, robotics, RFID, and advanced sensors delivers immediate shelf intelligence without the need for planograms. Simbe customers consistently achieve transformative results: 2% margin growth, 98% on-shelf availability, 90% improved price accuracy, and 50+ weekly labor hours reallocated to customer service per store. Our enterprise-grade platform seamlessly integrates with existing retail systems, delivering ROI within three months while powering the intelligent retail operating model necessary to compete today.
