Data Analyst Internship

Unstop's interview process typically starts with a timed online assessment focusing on data‑analysis concepts, SQL queries, and basic programming. The subsequent live interview dives deeper into problem‑solving, case studies, and your approach to real‑world data challenges. A final HR round assesses cultural fit and discusses internship logistics. Preparation should include practicing SQL, Python coding, and reviewing fintech case studies.

Unstop promotes a collaborative, fast‑paced environment where interns are treated as full contributors. Employees enjoy flexible working hours, mentorship programs, and a focus on continuous skill development. The company emphasizes work‑life balance through regular hackathons, knowledge‑sharing sessions, and a supportive leadership team.

Open to fresher candidates from any undergraduate or postgraduate program (Engineering, Arts, Commerce, Sciences, etc.). Minimum aggregate of 60% (or CGPA 6.0/10). No active backlogs at the time of application. Candidates graduating in 2024, 2025, or 2026 are eligible.

Round 1: Structured online assessment (multiple‑choice and problem‑solving) → Round 2: Live technical interview with the hiring team → Round 3: HR discussion (fit and internship logistics)

Unstop is a fast‑growing fintech platform that leverages artificial intelligence to deliver intelligent financial recommendations, transaction analytics, and data‑driven automation for millions of users across India. Founded by a team of ex‑banking and tech professionals, the company has quickly scaled its product suite, integrating real‑time data pipelines, predictive models, and user‑centric dashboards. With a culture that encourages rapid experimentation and cross‑functional collaboration, Unstop aims to democratise sophisticated financial insights for both retail and enterprise customers. The organization is backed by leading venture capital firms and is expanding its engineering, data, and product teams to support a roadmap that includes AI‑powered budgeting tools, fraud detection engines, and automated compliance solutions. The AI & Data Analyst Internship is designed for highly motivated fresher candidates who want to experience the complete data lifecycle in a real‑world fintech environment. Interns will not be confined to static reporting; instead, they will engage in end‑to‑end projects that involve data acquisition, cleaning, exploratory analysis, model building, and visualization. Working closely with senior data scientists and product managers, interns will contribute to building features that directly influence user experience and business decisions. Key responsibilities include: 1. Scrape and extract structured and unstructured data from websites, APIs, PDFs, and third‑party data sources. 2. Clean, transform, and store large datasets using SQL and cloud storage solutions. 3. Perform exploratory data analysis to uncover trends, anomalies, and actionable insights. 4. Develop and evaluate machine learning models for predictive analytics such as churn prediction and credit scoring. 5. Create interactive visualizations and dashboards using tools like Tableau or Power BI to communicate findings to stakeholders. 6. Automate repetitive data pipelines using Python scripts and scheduling frameworks. 7. Collaborate with product teams to translate business problems into data‑driven solutions. 8. Document data workflows, codebases, and model performance metrics for reproducibility. 9. Participate in code reviews and adopt best practices for version control (Git). 10. Stay updated with emerging AI/ML techniques and propose innovative applications relevant to fintech. The tech stack primarily includes Python (Pandas, NumPy, Scikit‑learn), SQL, Git, Tableau/Power BI, RESTful APIs, and cloud platforms such as AWS or GCP for storage and compute. Interns will gain exposure to the full spectrum of data engineering and data science, positioning them for future roles as Data Analysts, Machine Learning Engineers, or Product Analysts. Growth path: Successful interns may be offered a full‑time position as a Junior Data Analyst or Data Scientist, with clear mentorship, access to continuous learning resources, and a roadmap that includes ownership of larger projects, leadership of small data teams, and opportunities to contribute to product strategy. Why join Unstop? The internship offers hands‑on experience with real business problems, mentorship from industry veterans, and a vibrant culture that values curiosity, impact, and rapid learning. Candidates will leave with a robust portfolio of fintech‑focused data projects, a deeper understanding of AI applications in finance, and a network of professionals that can accelerate their career.