Bajaj Finserv

Role: Data Science Intern

College: Not Specified

Interview Date: Early January 2025 (Online Test), First week of February 2025 (Interviews)

Interview Type: Internship, Off-Campus

Result: Selected

Difficulty: Medium

Rounds: Online Test, 2 Technical Interviews, HR Round

Topics Asked: Generative AI, Machine Learning concepts (Confusion Matrix, temperature, token), SQL, Data Science projects (EDA methods, NumPy, Pandas functions), Python coding.

Experience:

The candidate applied for a Data Science Internship at Bajaj Finserv Health in early January and received an online test link within a week.

Online Test: The test was hosted on HackerEarth and comprised 19 multiple-choice questions covering various topics, along with two coding questions rated as LeetCode medium.

Technical Interview 1: After a month of waiting, the candidate was shortlisted for interviews. The first technical interview covered generative AI, basic machine learning concepts like confusion matrix, and terminologies such as temperature and token. SQL skills were tested live, requiring the candidate to share their screen and write queries.

Technical Interview 2: The second technical round, held the very next day, focused more on the candidate's data science projects. Questions were asked about problem-solving approaches, various EDA methods, NumPy and Pandas functions, and the techniques and results used in projects. Live Python coding skills were also demonstrated by sharing the screen.

HR Round: After waiting for 3-4 days, the HR called for the final round, which was described as more of a formality. The candidate was informed of their selection.