Infosys Data Science Interview Questions and Answers (2026 Guide)

Quick answer: Infosys does not run a single distinctive analytics-specific gauntlet the way Accenture's cognitive game or Cognizant's Superset platform do. Fresher hiring for analytics-adjacent roles mostly flows through Infosys's general engineering pipeline, an online assessment (or the InfyTQ/Springboard certification route), a technical interview, then HR. For roles actually titled Data Analyst or Data Scientist, which at Infosys are more often lateral, experienced hires, search-indexed Glassdoor summaries describe a shorter, moderate-difficulty loop built around SQL, Excel, Power BI or Tableau, and for Data Scientist candidates, Python and machine-learning fundamentals.

About Infosys

Infosys, founded in 1981 and headquartered in Bengaluru, is one of India's largest IT services and consulting companies, alongside peers like TCS, Wipro and Cognizant already covered in this series. Its business spans application development, cloud, and a dedicated Data & Analytics service line for enterprise clients, but that client-facing analytics business is distinct from how Infosys hires and interviews its own data analyst and data scientist employees, which is what this guide covers.

Infosys's Interview Process

• General fresher pipeline (three stages): a roughly 100-minute online assessment covering reasoning, quantitative aptitude, verbal ability, pseudocode, and puzzle-solving, each with its own sectional cutoff; then a technical interview on programming, DBMS, operating systems and networking plus a project walkthrough; then an HR round on motivation, relocation and teamwork. This is Infosys's standard campus route, not a data-role-specific one. (Unstop)

• InfyTQ / Infosys Springboard certification route: a separate, optional qualifying path where candidates clear a coding and DBMS-heavy assessment to earn certification, which feeds the higher-paying Specialist Programmer or Power Programmer tracks over the standard Systems Engineer track. InfyTQ has since been folded into the broader Infosys Springboard platform. Notably, none of this is analytics-specific: the syllabus is Java or Python, SQL/DBMS, and aptitude, the same credential a candidate would use for a general software role. (PacketPrep; faceprep)

• Data Analyst-titled roles: search-indexed Glassdoor summaries describe resume screening and an HR call, followed by a technical round on SQL, Excel, and data visualization tools like Power BI or Tableau, with scenario-based questions on data cleaning, interpretation, and tying analysis back to a business decision. (Glassdoor)

• Data Scientist-titled roles: for experienced candidates, Glassdoor summaries describe a shorter 2 to 3 round loop covering Python and machine-learning topics (error handling, data preprocessing, deployment and monitoring) alongside SQL joins, window functions and CTEs. (Glassdoor)

What Candidates Report

Glassdoor's aggregate ratings put both roles at a moderate 3 out of 5 difficulty. Data Analyst candidates report a 79% positive interview experience and roughly 25 days from first contact to offer; Data Scientist candidates report roughly 20 days, with the process described as "well-structured" and leaning on practical, real-world coding over abstract theory. (Glassdoor, both links above) Independent prep aggregators and candidate write-ups consistently mention SQL and Power BI as the two skills most likely to come up in a data-analyst-flavoured round, and describe interviewers as more interested in whether a candidate can explain fundamentals cleanly and connect them to real work than in flashy problem-solving. We treat this framing as commonly reported rather than fully confirmed, since it is drawn from scattered prep-site and social posts rather than one authoritative candidate-review dataset.

What We Could Not Verify

Direct fetches of the Infosys Data Analyst and Data Scientist Glassdoor pages, both AmbitionBox pages, and InterviewQuery's dedicated Infosys Data Analyst and Data Scientist guides all failed on our end (403 or rate-limit errors), so the specifics above rely on search-indexed summaries of those pages rather than full page reads, and we could not independently verify exact candidate-quoted questions. We also could not find any Infosys assessment platform that is analytics-specific the way Accenture's cognitive test or Cognizant's Superset platform are; InfyTQ/Springboard is a generic software-engineering credential, and dedicated Data Analyst or Data Scientist vacancies at Infosys appear to run through the standard experienced-hire interview process rather than a named, distinct pipeline. We found no verifiable InfyTQ-specific data-science track, salary figures, or named hiring-manager quotes, and have omitted anything we could not source.

How to Prepare

• Revise SQL thoroughly: joins, window functions and CTEs come up across both Data Analyst and Data Scientist rounds.

• Get comfortable with Excel and one visualization tool (Power BI or Tableau) for data-analyst-flavoured interviews.

• If entering as a fresher, consider the Infosys Springboard certification route into the Specialist Programmer or Power Programmer track, even though it is not analytics-specific.

• Prepare one project narrated as a business outcome, not just a technical walkthrough, since interviewers reportedly probe how your analysis changed a real decision.