Data Science at OKCredit:


The simple, solid, and paperless model of OkCredit has brought about a complete change in the way small and medium businesses function. No more do they have to rely on hand-written diaries or paper-based account books for keeping track of their transactional operations. Instead, they can simply digitize their financial records and view all relevant data about their outstanding balance — anytime, anywhere!


This places OKCredit in a unique position and gives the team a distinct opportunity to decipher the richest possible data about Indian MSME sector. The vast variety and magnitude of data at OKCredit which is a mix of structured, unstructured, image,text based data is all set to revolutionize the way India accounts for its money. Some of the ML use cases, currently at OKCredit are:

  • User acquisition and user retention
  • NLP/NLU based products for Indic languages
  • Audio/Voice capabilities for building voice-first products 
  • Risk Mitigation in payments platform and lending



  • Building scalable and low latency ML systems 
  • Model training, validation and post deployment monitoring
  • Maintaining and improving existing codebases and peer reviewing code
  • Liaising with team members on ML system design and technical documents
  • Research and literature review (including open source)
  • Manage individual project priorities, deadlines and deliverables




  • Must: Python, SQL, Databases, Pytorch/Tensorflow, Kubernetes, Docker or equivalent frameworks



  • Bachelor's degree in Computer Science, or related technical field, or equivalent work experience.
  • Industry experience in training and deploying Machine Learning (ML) models
  • Bonus: Participation in Kaggle problems
  • Bonus: Prior experience in Fintech

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