AI/ML & Data Analyst Internship

Candidates typically face a timed online assessment followed by a live technical interview that probes both conceptual understanding and practical problem‑solving. The difficulty is moderate, focusing on Python, SQL queries, and basic machine‑learning concepts. Preparing with mock tests and revisiting core data‑science fundamentals greatly improves performance.

Round 1: Structured online assessment (MCQs and problem‑solving) → Round 2: Live technical interview with the hiring team → (Optional) HR discussion for cultural fit

Unstop.com promotes a vibrant, inclusive work environment that encourages continuous learning and cross‑functional collaboration. Employees enjoy a balanced mix of remote flexibility and on‑site interaction, with clear growth pathways and regular skill‑upgradation workshops.

Open to Fresher, Undergraduate and Postgraduate students across Engineering, Arts, Commerce, Sciences and other streams. Minimum aggregate of 60% (or CGPA 6.0/10) in the most recent qualification. No active backlogs at the time of application. Candidates should have basic knowledge of Python, statistics, and SQL. Preference for students from the 2025‑2027 batch, but strong candidates from other batches will also be considered.

Frugality Fintech is a fast‑growing financial technology startup that leverages artificial intelligence to deliver intelligent financial recommendations, transaction analytics, and end‑to‑end data‑driven automation for its users. Founded by a team of engineers and finance professionals, the company has quickly scaled its product suite across multiple Indian cities, focusing on building a robust data platform that powers personalized insights for millions of customers. The culture at Frugality Fintech is highly collaborative, data‑centric, and innovation‑driven, encouraging interns to take ownership of real business problems from day one. The AI/ML & Data Analyst Internship is designed for fresh graduates and final‑year students who want to gain hands‑on experience across the entire data lifecycle. Interns will work directly with senior data scientists, product managers, and engineers on live projects that involve large, noisy datasets, predictive modeling, and automation of routine analytics workflows. This is not a dashboard‑only role; you will be expected to design, develop, and deploy end‑to‑end AI solutions that directly impact product decisions and user experience. Key Responsibilities: 1. Identify high‑impact business problems where AI/ML can add value and propose solution frameworks. 2. Collect, clean, and preprocess raw financial and transactional data from multiple sources. 3. Perform exploratory data analysis to uncover trends, anomalies, and actionable insights. 4. Build and evaluate machine‑learning models for tasks such as churn prediction, fraud detection, and recommendation scoring. 5. Develop automated data pipelines using Python and SQL to ensure reliable data flow. 6. Create interactive visualizations and reports for stakeholders using Tableau or Power BI. 7. Collaborate with product teams to translate model outputs into product features and user‑facing insights. 8. Document code, methodology, and findings to maintain reproducibility and knowledge sharing. 9. Participate in code reviews and contribute to the team’s best‑practice guidelines. 10. Stay updated with the latest AI/ML research and suggest innovative techniques for continuous improvement. Tech Stack: Python (Pandas, NumPy, Scikit‑learn), SQL, Tableau/Power BI, Git, AWS (S3, Lambda), Jupyter notebooks, and basic knowledge of deep‑learning frameworks such as TensorFlow or PyTorch is a plus. Growth Path: Successful interns may receive a full‑time offer as Data Analyst, Data Engineer, or Machine Learning Engineer, with clear mentorship, skill‑upgradation programs, and exposure to product‑level decision making. Why Join Frugality Fintech? You will work on real‑world financial data, see the impact of your models in a live product, and be mentored by industry experts. The internship offers a blend of technical depth and business exposure, making it an ideal launchpad for a career in data science and AI within the fintech ecosystem.