Experian is seeking a Staff Software Engineer to shape the future of enterprise-wide Data, Analytics, and AI/ML platform capabilities, focusing on foundational architecture and infrastructure.
Experian is the world's leading global information services company, dedicated to empowering consumers and clients to manage their data with confidence during significant life events such as buying a home, a car, or sending a child to college. With a workforce of 20,000 people across 44 countries, Experian invests in new technologies and ideas to help clients make informed decisions, access financial services, and prevent identity fraud. Recognized as one of the 100 Best Companies to Work For by FORTUNE and listed among the World's Most Innovative Companies by Forbes Magazine, Experian prioritizes a people-first culture that emphasizes diversity, equity, and inclusion.
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Jobs from Experian:
Senior Application Security Engineer
Trading Partner Relationship Manager
Director of Regulatory Affairs
Data Scientist, Customer Analytics
Data Solution Software Engineer
Experian is the world's leading global information services company, dedicated to empowering consumers and clients to manage their data with confidence during significant life events such as buying a home, a car, or sending a child to college. With a workforce of 20,000 people across 44 countries, Experian invests in new technologies and ideas to help clients make informed decisions, access financial services, and prevent identity fraud. Recognized as one of the 100 Best Companies to Work For by FORTUNE and listed among the World's Most Innovative Companies by Forbes Magazine, Experian prioritizes a people-first culture that emphasizes diversity, equity, and inclusion.
Share This Job!
Save This Job!
Jobs from Experian:
Senior Application Security Engineer
Trading Partner Relationship Manager
Director of Regulatory Affairs
Data Scientist, Customer Analytics
Data Solution Software Engineer
Experian is looking for a Staff Software Engineer to develop foundational capabilities for their Data, Analytics, and AI/ML platforms.
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