Baker Hughes Data Science Interview Questions and Answers (2026 Guide)

Quick answer: Baker Hughes is a global energy technology company with a real India data-science presence, an Early Career Trainee Data Scientist program based in Mumbai and Pune under its Cordant analytics team, but verified, role-specific interview intelligence for India is thin. The single detailed India interview account we found is for a Digital Technology internship, not a data science role, and Glassdoor's company-wide aggregate (2.85 out of 5 difficulty, 63% positive) is not broken out by role. Below is what we could confirm, what looks like generic template filler, and what we could not verify at all.

About Baker Hughes

Baker Hughes is an American global energy technology company, co-headquartered in Houston, Texas, and London, UK, with roots going back to Hughes Tool Company (1908) and Baker Oil Tools, which merged in 1987. It reported revenue of about $27.7 billion in 2025 and roughly 56,000 employees across more than 120 countries, split across two segments: Oilfield Services and Equipment, and Industrial and Energy Technology. (Wikipedia)

In India, Baker Hughes has a genuine multi-city footprint with Glassdoor-tracked employee reviews from Bangalore, Pune, Mumbai and Gurgaon. Its digital and analytics work is organised under Cordant, an AI-enabled asset performance management platform used for predictive maintenance and asset-health monitoring across oil and gas, power generation and other industrial customers. (Baker Hughes, Cordant) A 2026 job posting reposted on multiple India job boards describes an Early Career Trainee, Data Scientist role based in Mumbai or Pune, a 6 to 11 month traineeship on the Cordant Analytics team working on exploratory data analysis, AI/ML prototyping and integrating analytics into engineering workflows, requiring Python, statistics and a bachelor's or master's in a data-related field. (OffCampusJobs4u; JustNK) The original Baker Hughes careers-site posting has since been taken down, so this comes from job-board reposts rather than a page we could read directly on bakerhughes.com.

What We Could Confirm About Hiring

• Company-wide Glassdoor aggregate: 2.85 out of 5 for interview difficulty, with 63.2% of candidates reporting a positive experience, across 1,362 interview reviews. This figure covers all roles and locations, not data science or data analyst positions specifically. (Glassdoor)

• The Data Scientist traineeship posting describes selection loosely, in one repost, as "an online aptitude and technical assessment followed by interview rounds focused on your project experience and analytical mindset." A second repost of what appears to be the same listing does not mention any interview or selection detail at all, so we are not treating that phrasing as a confirmed Baker Hughes process description, only as one job board's paraphrase.

• A separate, closely adjacent India account exists for a Digital Technology internship (Software Developer track, on-campus, 2023): 5 rounds after CGPA shortlisting, an asynchronous HireVue digital interview, a 25-question MCQ test on data structures, SQL, OOP, DBMS and operating systems, a group discussion on an energy-sector topic, a technical interview covering linked lists, SQL joins and ACID properties, and a final leadership round mixing technical and HR questions. Logistic regression came up once, in the final round, as the only data-science-adjacent question reported. (GeeksforGeeks)

What Generic Guides Claim, and Why We Are Not Repeating It as Fact

Search-indexed prep-site guides for "Baker Hughes Data Scientist" describe a recruiter screen, a technical round on supervised and unsupervised learning, Python coding, and signal-processing concepts, followed by a project deep-dive on computer vision or NLP, then a leadership round. This reads like the same template these sites apply across thousands of unrelated companies, and we could not confirm it against any named candidate's account, so we are describing it here only to flag it, not to present it as verified Baker Hughes interview content.

What We Could Not Verify

We found no Glassdoor, AmbitionBox, Naukri Code360 or Blind account written by a named or anonymous candidate who actually sat a Baker Hughes Data Scientist or Data Analyst interview in India. Glassdoor's Data Analyst and Senior Data Scientist interview pages for Baker Hughes returned access errors on direct fetch, so any detail on those specific pages is unconfirmed by us. The one interview account we could read in full was for a software-engineering internship, not a data role, and the Data Scientist traineeship's selection process is described inconsistently between the two job-board reposts we found, with the original Baker Hughes posting no longer live. We are not fabricating rounds, question counts or difficulty scores for the data-science track specifically because none of that exists in a source we could verify.

How to Prepare

• Revise SQL, DBMS and basic data structures thoroughly, since these are the confirmed technical topics from the one detailed India account we found, even though it was for an adjacent engineering role.

• Know Python, statistics and core ML fundamentals at a working level, since these are the explicit skill requirements listed in the Data Scientist traineeship posting itself.

• Be ready to discuss an energy or industrial-IoT-flavoured problem, such as predictive maintenance or asset-health monitoring, given Baker Hughes's Cordant analytics business, even though we could not confirm this is asked directly.

• Prepare a group-discussion-style talking point on the energy sector, since this format was confirmed in the one internship account we read, and treat any generic "Data Scientist interview guide" you find online with some skepticism unless it cites a real, named source.