Bajaj Finance Data Science Interview Questions and Answers (2026 Guide)

Quick answer: Bajaj Finance is India's largest private-sector NBFC, and its analytics work leans heavily toward credit risk and underwriting rather than generic dashboards. Candidate reports describe an aptitude round, a technical MCQ round, and one technical interview covering SQL, PySpark and data-structures problems for data-science internship tracks, and a 4-round process (including an unusual API-based application step) for data-engineering campus hires.

About Bajaj Finance

Bajaj Finance Ltd is India's largest private-sector NBFC, with consolidated assets under management crossing ₹5,09,975 crore in FY2026, up 22% year on year, and a gross NPA of just 1.01%, among the lowest in the industry. Its portfolio spans consumer finance, mortgage finance, SME and commercial finance, and rural finance, serving more than 80 million customers. (The Strategy Story) Given that lending scale, its analytics function is oriented toward credit-risk and underwriting decisioning: Bajaj Finserv's own case study with Tableau describes cutting risk-portfolio analysis turnaround from 2 to 2.5 days down to 8 to 10 hours. (Tableau customer story)

Bajaj Finance's Interview Process

• Data Science Intern track (Glassdoor): an aptitude round of about 60 minutes and 45 questions covering basic data structures and algorithms, a technical MCQ round, then one technical interview covering SQL (DDL and DML, window functions), PySpark and user-defined functions, and a project discussion, with no separate HR round reported on this specific path. (Glassdoor)

• Data Engineering campus hiring (GeeksforGeeks candidate accounts): a 4-round process starting with an API-submission step where candidates send personal details via a JSON API call, then a HackerEarth-hosted aptitude round of 10 MCQs plus one coding problem, a technical panel covering Python fundamentals, dynamic programming, SQL joins explained through Venn diagrams and string or DSA problems, and finally an HR round. (GeeksforGeeks; GeeksforGeeks)

What We Could Not Verify

We found no candidate-sourced evidence of Bajaj-specific case-study questions, for example a designed credit-risk or fraud-model prompt, even though that would fit the business given the Tableau case study above. This pattern is plausible but not attested in any interview-question source we could access, so we are not presenting it as a confirmed interview theme. The Glassdoor page for the Data Science Intern track also returned an access error on direct fetch, so those details come from a search-indexed summary rather than a page we read in full.

How to Prepare

• Revise SQL window functions, DDL and DML thoroughly, since these show up specifically in candidate reports.

• Practise PySpark user-defined functions if applying for a data-engineering-adjacent role.

• Think through how you would evaluate credit risk with data, even though we could not confirm this is asked directly, given it is core to the business.