Khatabook, India’s leading fintech app for MSMEs, is hiring Data Science Internship in Bangalore with a stipend of ₹2-3 LPA (around ₹50k/month) for candidates with 0-1 years experience. Targeted at 2026 batch students, this role offers hands-on ML/DL projects and potential PPO in lending, payments, and insurance domains.

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About the Khatabook

Khatabook is a leading Indian fintech startup headquartered in Bangalore, founded in 2018-2019 by IIT Bombay alumni including Ravish Naresh (COO of Housing.com fame), Dhanesh Kumar, Ashish Sonone, and Jaideep Poonia. It digitizes the traditional “bahi khata” (ledger books) used by small merchants, evolving into a comprehensive business management platform for MSMEs (micro, small, and medium enterprises).

Khatabook empowers over 50 million users—primarily kirana stores, recharge shops, and small traders—to manage finances digitally through features like transaction tracking, digital ledgers, payment reminders (UPI/IVR bots), invoicing, and expense management. Available in 12-13 Indian languages, it processes ₹30,000+ crore in monthly transactions, focusing on financial inclusion for underserved segments.

Why Khatabook Data Science Internship Rocks

Join a high-growth startup revolutionizing digital ledgers for 10 crore+ small businesses. Interns build end-to-end DS pipelines, experiment with LLMs and Generative AI, and see prototypes scale to production—real impact, not academic exercises.

Bangalore’s vibrant fintech ecosystem (home to Razorpay, PhonePe) provides networking gold. With India’s MSME credit gap at ₹30 lakh crore, your work directly boosts financial inclusion amid 2026’s digital economy surge.

Perks: PPO potential, mentorship from expert DS teams, flexible culture, ESOPs for future hires, and team offsites. Stipend ₹50k/month outshines many startups for freshers.

Role Responsibilities: Hands-On Data Science

Dive into cutting-edge projects:

  • Develop ML/DL models for image processing, NLP, and fraud detection.
  • Construct pipelines using Python, Airflow, TensorFlow/PyTorch.
  • Analyze patterns, automate dashboards, perform RCA for business insights.
  • Collaborate with Product/Engineering on lending, insurance, investments.

Expect 3-6 month duration, full-time in Bangalore, transitioning ideas to production fast. Perfect for AI enthusiasts wanting startup pace over corporate structure.

Skills and Qualifications Needed

Must-Haves:

  • Strong Python, pandas, scikit-learn, SQL.
  • ML/DL fundamentals; image processing with AI.
  • Data pipelines (Airflow experience ideal).
  • Analytical mindset for real-world fintech challenges.

Nice-to-Haves: Docker, MLOps, TensorFlow/PyTorch, Generative AI/LLMs.

No fancy resume needed—just projects proving skills. GitHub repos with Kaggle notebooks seal the deal.

Stipend and Benefits Table

BenefitDetails
Stipend₹2-3 LPA (₹40k-₹50k/month), performance-based 
Duration3-6 months, extendable with PPO
LocationBangalore (on-site/hybrid) 
PerksPPO eligibility, lunch on house, health insurance, unlimited leave, L&D 
Experience0-1 years; freshers prioritized 
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Competitive for Bangalore startups; alumni leverage for FAANG roles.

Eligibility Criteria Snapshot

  • Batches: 2026 (4th-year B.Tech/BE or 2nd-year M.Tech).
  • Degrees: CSE/IT/ECE, BSc Data Science, BCA/MCA.
  • Preference: Tier-1 (IIT/NIT/BITS); strong projects over pedigree.
  • Commitment: Full-time, Bangalore relocation willingness.

Delhi students: Bangalore’s 1-hour flight makes it viable; hybrid hints ease transition.

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Step-by-Step Guide

  1. Tailor Resume: 1-page with projects, skills (Python/ML), GitHub link.
  2. Hit Apply Linkhttps://khatabook.turbohire.co/job/publicjobs/a8315cbc-bead-4fcf-b68b-81b68fa5d0d3.
  3. Deadline: February 27, 2026—apply today! [query context].
  4. Prep Process: Coding test (Python/ML), case studies, interviews on pipelines/AI.

Pro Tip: Reference Veena Marabaraddi on LinkedIn for queries; no fees, verify official links.

​Prep Hacks for Success

  • Coding/ML: Kaggle (image datasets), LeetCode SQL/Python.
  • Projects: Build Airflow pipeline for fintech prediction; showcase on GitHub.
  • Mock Interviews: Pramp for DS scenarios; study Khatabook’s MSME use cases.
  • Stand Out: Highlight AI interests from your background; content skills aid dashboard storytelling.

Clear in 1-2 weeks with daily 2-hour practice. Past interns: “From prototype to prod in weeks—PPO gamechanger!”.

How To Apply?

If you are an Interested Candidate, you can apply for the Data Science Internship at Khatabook Bangalore | Stipend Rs. ₹2-3LPA | 0 – 1 Years | Apply by 27 Click Here.

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