Elevance Health Data Science Interview Questions and Answers (2026 Guide)

Quick answer: Elevance Health (formerly Anthem) is a US health insurer that runs its India technology and analytics operations through a wholly owned subsidiary, Carelon Global Solutions, with more than 18,000 associates across Bengaluru, Hyderabad and Gurugram. Glassdoor's own listing for Elevance Health's US-based Data Scientist role shows a thin sample (6 reviews) rated 2.8 out of 5 for difficulty with only 20% positive experiences, and we could not find a single India-specific, data-role candidate account for Carelon. What we did find, a named Data Engineer's account of a Carelon interview, is for an adjacent role, not Data Scientist or Data Analyst, so we are presenting it as such rather than stretching it to fit.

About Elevance Health

Elevance Health, Inc. is a US managed-care and health-insurance company headquartered in Indianapolis, Indiana, known as Anthem, Inc. until shareholders approved the rebrand in May 2022, effective that June. (Elevance Health Newsroom) Its healthcare-services arm was renamed Carelon at the same time. (Forbes) Elevance Health reported $171.34 billion in revenue for 2023. (WallStreetZen) Its India operations run through Carelon Global Solutions, formerly Legato Health Technologies, founded in 2017 as a wholly owned subsidiary. Carelon Global Solutions India describes itself as running more than 18,000 associates across four sites: two in Bengaluru (Bagmane Solarium City and Manyata Embassy Business Park), one in Hyderabad (Phoenix Avance Business Hub) and one in Gurugram (Candor Techspace), doing enterprise data analytics, healthcare operations technology and business-process work for the wider group. (Carelon Global Solutions India, About Us)

What We Found on the Interview Process

• Elevance Health's own US-listed Data Scientist entry on Glassdoor is a small sample, 6 submitted interviews, rated 2.8 out of 5 for difficulty with only 20% of candidates reporting a positive experience and an average of 10 days to get hired. Reviewers describe an initial HR round, and once experience is approved, a call directly with a team member, with a coding round somewhere in the middle. One specific reported topic is being asked about types of word embeddings and which method you would use for a given case. (Glassdoor)

• Carelon Global Solutions' own Glassdoor listing (a separate India-registered entity) is a much larger sample across all job titles, 711 submitted interviews, rated 2.79 out of 5 for difficulty with 63.9% of candidates reporting a positive experience and an average of 16 days to hire. That aggregate spans every role Carelon hires for, not Data Scientist specifically, so we cannot isolate a data-role figure from it. (Glassdoor)

• Campus-hire accounts for Carelon's Associate Software Engineer track (not a data role) describe a consistent 3-stage pattern: an online assessment mixing aptitude and technical MCQs with one coding problem on arrays, a communication round, and a technical interview of about 45 to 50 minutes covering data structures and algorithms, SQL and operating systems. (GeeksforGeeks)

The One Named Account We Found, and Why It Is Not a Perfect Match

The strongest first-person account we could trace for a Carelon data-adjacent role is a LinkedIn post from a named candidate describing a Data Engineer interview there, not Data Scientist or Data Analyst. He reported 2 rounds: the first on partitioning, schema evolution, orchestration logic and data versioning; the second a system-design round covering end-to-end pipeline design for both streaming and batch systems, schema-drift and data-quality monitoring, handling late-arriving data, cost-effective storage strategy, and Apache Spark performance tuning. He described it as a senior-level bar where depth and production-grade decision-making mattered more than textbook answers. (LinkedIn) We are flagging this clearly as a Data Engineer account, useful as a signal that Carelon's data-adjacent interviews go deep on real infrastructure problems, but not something we are presenting as a Data Scientist or Data Analyst process.

What We Could Not Verify

We could not find a single India-specific candidate account, on Glassdoor, AmbitionBox, Naukri Code360 or general search, describing a Data Scientist or Data Analyst interview at Carelon Global Solutions specifically. Glassdoor's own Data Scientist entry is filed against Elevance Health's US listing, and direct fetches of both Glassdoor pages returned access errors, so the statistics above come from search-indexed summaries rather than pages we read in full. AmbitionBox returned nothing usable for this search. We also could not confirm whether Carelon's India data-science hiring follows the same HR-then-team-member-then-coding structure reported for the US listing, or a different one. Given that gap, we are not presenting a single unified "Elevance Health data scientist process" as confirmed for India candidates.

How to Prepare

• Revise SQL and core statistics, including word-embedding and NLP fundamentals, since that is the one specific, sourced Data Scientist topic we found for the Elevance Health listing.

• Expect depth on production data pipelines if you are interviewing for a data-engineering-adjacent role at Carelon: schema evolution, orchestration, late-arriving data and Spark tuning all came up in the one detailed account we found.

• Prepare a healthcare-data angle for your project walkthrough, given Carelon's business is built entirely around US health-plan operations, even though we could not confirm a specific healthcare case study is asked.

• Do not assume the US and India processes are identical; we found evidence for each separately but nothing that confirms they match.