All open roles AI & Data DATA SCIENTIST INTERN On-site, Bengaluru Internship (6 months) 6 months, with a PPO based on performance Apply on the form This form also covers DevSecOps Intern. Select Data Scientist Intern when it asks which role you want. ABOUT THE ROLE As a Data Scientist Intern, you will work on the machine learning and data science that powers RevRag AI's Voice and In-App AI Agents, from analysing conversation, call, and usage data to building, fine-tuning, and evaluating models that improve agent quality in production. This role is focused on practical, applied data science, not academic research. You'll turn messy, real-world BFSI data into models, experiments, and insights that ship. KEY RESPONSIBILITIES * Explore and analyse large conversation, call, and usage datasets to surface patterns, insights, and improvement opportunities. * Build, train, and evaluate ML models for classification, scoring, and quality tasks across the agent platform. * Fine-tune and adapt LLMs and smaller models for specific BFSI use cases. * Design evaluation pipelines and metrics to measure model and agent performance (accuracy, reliability, business impact). * Read relevant AI and ML research and implement useful ideas from papers. * Run structured experiments, track results, and document findings clearly. * Work with engineers to integrate models into production workflows. * Build data pipelines and tooling for feature engineering, labelling, and analysis. TECHNICAL SKILLS * Strong understanding of Machine Learning and Artificial Intelligence fundamentals, including supervised and unsupervised learning, deep learning basics, and common model architectures. * Good grasp of the mathematical foundations behind machine learning models, including linear algebra, probability, statistics, calculus, and optimization techniques. * Comfortable reading and understanding AI and ML research papers and implementing ideas from them when required. * Hands-on experience with model fine-tuning through academic projects, internships, research work, or personal projects. * Familiarity with Python and popular ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. * Analytical mindset to evaluate model outputs and data quality. * Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. NICE TO HAVE * Published or co-authored AI and ML research papers, or active contributions to open-source AI projects. * Experience participating in AI and ML hackathons, research initiatives, or Kaggle competitions. * Exposure to LLMs, embeddings, and vector databases. * Experience with data tools (Pandas, NumPy, SQL) and visualization. * Exposure to cloud platforms (AWS, GCP). WHAT YOU'LL LEARN * How to apply data science and ML in real production AI systems. * Fine-tuning and evaluating models for real BFSI use cases. * Turning messy real-world data into models and insights. * Building evaluation pipelines and measuring what actually matters. * How models behave under real user conditions. SUCCESS IN THIS ROLE * Ship measurable improvements to model or agent performance. * Deliver clean, well-documented experiments and analyses. * Turn data into decisions that influence the product. * Demonstrate structured experimentation and strong learning velocity. ABOUT REVRAG AI RevRag AI is a Bengaluru-based deep-tech startup building production-grade Voice AI and LLM-powered automation for customer-facing workflows. Our multilingual, in-app AI agents plug directly into BFSI journeys, improving digital onboarding, sales, and support while cutting operational cost by up to 70%. We work with leading BFSI organisations including Mahindra Finance, Motilal Oswal, PayTM Insurance, PhonePe, KreditBee, Razorpay, Udaan Capital, Kissht, PolicyBazaar, InsuranceDekho, Open Capital, and EaseBuzz. 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