Data Scientist / AI Engineer / Analytics Engineer
Great Learning · Gurugram · onsite · Posted 29d ago
Not disclosed1–3 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
What you'll do
- Own analytics and AI solutions end-to-end: diagnose the root cause, build the solution, and follow it through to a business decision and measurable outcome.
- Develop data and AI-powered solutions — predictive models, automated pipelines, intelligence layers — that drive real outcomes and reduce the need for manual intervention.
- Build and maintain scalable, reliable data infrastructure, including robust data pipelines, foundational data models, and comprehensive data quality checks that the wider team can trust and build upon.
- Build and optimize the analytics intelligence layer to ensure the automated, scheduled delivery of granular insights to the appropriate stakeholders.
What we're looking for
- 1+ years of applied experience working on analytics or data science projects
- Advanced problem-solving capabilities, with a track record of navigating ambiguous questions to identify root causes rather than simply executing requested queries.
- Strong Python and SQL, and solid data-management fundamentals.
- Baseline AI fluency, including active use of LLMs for workflow optimization and hands-on experience building AI-powered operational workflows.
- Intrinsically motivated problem solvers who demonstrate ownership and genuinely enjoy learning
- The ability to work independently — you can take a problem, scope it, and run with it without being handed every step.
Location - Gurgaon/Bangalore (On-Site)
Sourced from foundit
Skills
AI-powered operational workflowsanalytics intelligence layerdata infrastructuredata modelsLarge Language Models (LLMs)data quality checkspredictive modelsPythonSQLautomated pipelinesData Pipeline
About Great Learning

Great Learning
EdTech
3.2k+
employees
2013
13 years old
Gurgaon, Haryana
India
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Great Learning is a leading global professional learning platform empowering 12M+ learners across 170+ countries with industry-relevant programs in data, technology, and business, created in collabora
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