dunnhumby is a global leader in customer data science, transforming how businesses understand and engage with their customers. We leverage proprietary insights and advanced analytics from over 660 million shoppers worldwide to create personalized experiences across digital, mobile, and retail channels. Our solutions empower clients to build lasting customer loyalty, driving competitive advantage and sustained growth. We partner with some of the world's most recognized brands, including Tesco, Coca-Cola, and Procter & Gamble. Our expertise lies in translating complex data into actionable strategies. We utilize cutting-edge technologies, including AI-powered platforms like dunnhumby Assortment and dunnhumby Sphere, to deliver impactful results. Our team of nearly 3,000 data scientists, engineers, and client specialists collaborate in a fast-paced, innovative environment that fosters both individual and collective growth. We value a culture of diversity and inclusion, offering flexible work arrangements and a commitment to employee well-being. We offer remote work opportunities, and our global presence spans across Europe, Asia, Africa, and the Americas, providing diverse career paths for talented individuals. Our commitment to innovation is reflected in our continuous development of new products and services, and our acquisition of several key companies throughout our history. With a legacy built on impactful data science and a focus on customer-centric strategies, dunnhumby offers exceptional opportunities to shape the future of retail and beyond. We're constantly evolving our tech stack to leverage the latest advancements in data analytics and AI. Our engineering culture emphasizes collaboration, innovation, and a customer-first approach. We maintain a commitment to continuous learning and provide opportunities for professional development. The company was acquired by Tesco in 2010 and continues to thrive as a global leader in its field.
📍 United States
🧭 Full-Time
🔍 Customer Data Science
Project ManagementSQLBusiness IntelligenceData AnalysisData MiningClient relationship managementChange Management