Khatabook is seeking a highly motivated and innovative Data Science Intern to join our dynamic team. You will work on challenging machine learning, deep learning, and image processing problems, applying large language models (LLMs) to real-world financial challenges.
Khatabook empowers India’s 60 million MSMEs by providing digital tools to manage receivables, inventory, and billing, enabling transparency in cash flow. Our platform also facilitates short-term working capital loans for users with good credit behavior. With over 100 million downloads and 8+ million monthly active users, we process over 220 million transactions worth $18 billion monthly.
We value our people as our greatest asset and foster an environment that encourages collaboration, experimentation, and innovation. We are committed to building a diverse and inclusive workplace where everyone can thrive.
Khatabook is a fast-growing Indian fintech startup that provides a digital ledger application designed to help small and medium-sized businesses manage their accounts and track transactions seamlessly. Founded in 2018, the company aims to empower merchants, shop owners, and entrepreneurs by replacing traditional paper-based bookkeeping with an intuitive, mobile-based solution. Its mission is to simplify financial record-keeping and improve cash flow management for millions of businesses across India.
With a user base spanning millions of merchants, Khatabook has become a leading player in the MSME digitization space. The platform offers features such as transaction tracking, payment reminders, and integration with digital payment systems, enabling better financial discipline and customer engagement. Headquartered in Bengaluru, Karnataka, Khatabook has attracted significant venture capital funding from prominent investors and has been recognized for its rapid growth and impact on India's digital economy. Recent milestones include expanding its product offerings and enhancing security features to support its growing user community.
Websitekhatabook.com
