Data Scientist (Classical ML/NLP + LLM)
Gartner, Inc. (company site, opens in a new tab)3–6 yrsGurugramOn-siteDirect career pageEst. 20–35 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead and execute high-impact data science projects from problem framing to production deployment, focusing on ML, NLP, and LLM-based solutions.
- Continuously evaluate and implement LLMs and agentic AI systems, including managing evaluation, guardrails, and hallucination control.
- Communicate complex technical insights effectively to stakeholders and influence decision-making.
Minimum Requirements
- 3-6 years of hands-on experience in applied ML/AI with production model deployment.
- Bachelor's, Master's, or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics, or related quantitative field, or equivalent expertise.
- Expert-level Python skills and experience with ML frameworks (NumPy, pandas, scikit-learn, PyTorch) and cloud platforms (AWS/Azure/GCP).
- Experience with supervised/unsupervised ML, LLMs, agentic systems, prompt engineering, and vector databases required.
Ideal Candidate Profile
- Experienced in end-to-end ML solution ownership including problem framing, method selection, and productionization in real-world contexts.
- Comfortable applying diverse ML approaches including supervised, unsupervised, optimization, LLM/agentic workflows, and evaluation.
- Skilled at balancing technical and business perspectives, working directly with stakeholders and leadership to maximize impact.