Chennai - India

Salary
Posted
Jul 19, 2026
Location
Chennai - India
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

An analyst role embedded within a global Data Science team, responsible for implementing, testing, validating, and monitoring analytical and AI/ML models. Day-to-day work involves processing large datasets, performing model scoring and impact analysis, supporting MLOps/LLMOps pipelines, and building automation solutions. Suited to someone with a solid background in Python, PySpark, and SQL, and familiarity with machine learning and generative AI concepts.

Mid level · 3+ years · National · Full-time

Must have (7)
PythonPySparkSQLHadoopLLMsMachine LearningMLOps
Nice to have (1)
LLM agents

We read this from the posting text with AI. Skim the description below before ruling yourself out.

How this req sits in the market our data

What gives you an edge
Hadoop5%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
Python88%Machine Learning80%SQL72%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $122,874 (middle half $87,544–$162,374).

Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.

Why we read it this way (6)

This role is based in India (Dun & Bradstreet Technology and Corporate Services India LLP), so US compensation benchmarks do not apply. The CBSA and state fields are left blank accordingly.

The title is 'Analyst' with no seniority modifier, but the 3–6 years of experience requirement and the scope of responsibilities (model scoring, MLOps, automation, AI-driven tools) support a Mid-level classification.

Hadoop appears in the responsibilities section alongside Python, PySpark, and SQL as a data extraction tool; it is treated as a hard requirement given the firm language of that section.

LLM agents and GenAI certifications are explicitly called out as 'an added advantage,' so they are marked as preferred.

The role blends Data Science (ML/statistical modeling, model monitoring) with analytics operations/MLOps; the alt SOC 15-2031 reflects the significant operational analytics and reporting component.

This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.

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