Website
Data Science Intern
Khatabook
Updated on: 01 February 2026
Additional Details
Website
Work Location
Bengaluru, India
Job Type
Internship + Fte
Batch
2026
Stream Required
BE/B-Tech/ME/M-Tech
Salary
7 LPA (Expected)
Job Description
MSMEs contribute significantly to India’s total GDP. 90% of India’s ~$1 Trillion Retail Market is controlled by Micro, Small & Medium Enterprises (MSMEs). Which means ~$900B worth of commerce flows through these ~60M MSMEs in the form of shops/kiosks/homes, scattered all over the country.
We at Khatabook, have a vision to empower MSMEs and help them increase their incomes. We have built a product that brings efficiency in MSME operations by providing them easy to use tools to manage their receivables, inventory and billing which creates transparency in their cash flow. Within the Khatabook platform, we have also enabled the facility to take loans for their short term working capital needs for select Khatabook users that are displaying good credit behavior. Our app has been downloaded over 100 Million times with a monthly active user base of 8 Million+ which are adding 220 Million+ transactions with a transaction value of $18 Billion.
People are our biggest asset! At Khatabook, every one of us is a dynamic superstar. We have carefully bred an ecosystem which hires nothing but incredibly and exceptionally talented people who can dream, collaborate, experiment, and break new ground. We’re a strong team that looks out for each other.
We are seeking a highly skilled and innovative Intern for Data Science team to work on some interesting ML, DL, image processing related problems. If you are passionate about machine learning, deep learning, and applying large language models (LLMs) to real-world financial challenges, we want to connect with you!
Design, develop, and deploy end-to-end data science solutions that address complex business problems across lending, insurance, investments, and payments.
Collaborate with cross-functional teams including product, engineering, and business to identify opportunities for data-driven impact.
Continuously explore and implement state-of-the-art techniques in machine learning, deep learning, NLP and Generative AI.
Someone who is in 4th year of Bachelor's or 2nd year of Master's in Engineering or equivalent.
Can demonstrate some Data Science/Machine Learning experience.
Strong knowledge in Image Processing with AI domain.
Strong inclination towards figuring out complex patterns in data, insights generation, root cause analysis,automating them through Dashboards.
Strong Python programming skills and basic experience in building Data Pipelines in Python,Airflow along with feature engineering.
Proficiency in pandas, scikit-learn, SQL and familiarity with TensorFlow/PyTorch.
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