Job Description

About the role:

We are looking for a Data Scientist to lead high impact Data Science initiatives that convert diverse data into actionable insights and decision support. You will be responsible for designing, executing and implementing solutions that drive research excellence, operational efficiency and revenue growth.

What you'll do:
- Partner with stakeholders to frame the problem. Work directly with technical leaders and domain experts to translate ambiguous questions into well-posed analytical problems, align on success metrics, communicate trade-offs clearly, and recommend the most effective approach—ML/AI, classical analytics, or rule-based decisioning—based on impact, constraints, and maintainability
- Develop methodologies across the full spectrum. Apply and extend methods across supervised learning, unsupervised learning, Generative / Agentic AI, NLP, etc
- Apply LLMs and agentic systems pragmatically, and drive adoption of evolving capabilities. Continuously evaluate new models, tooling, and patterns; run rapid,



measurable prototypes; and scale the winners into production RAG/agent workflows—owning evaluation, guardrails, and hallucination control
- Deliver production ready solutions. Derive approaches from first principles when off-the-shelf methods don't fit, prototype hands-on, and carry solutions from data cleaning and feature engineering through model development, evaluation, deployment—ensuring quality in terms of its accuracy, stability and scalability
- Communicate insights in business terms. Convey complex technical concepts to diverse audiences and influence key stakeholders and leaders across the organization

What you'll need:
- 3- 6 years in applied ML / applied AI, with hands-on experience building and deploying models in production environments
- Bachelor's or Master's (or PhD) in Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field. Equivalent demonstrable expertise is welcome

📌 Data Scientist (Gurugram)
🏢 Gartner
📍 Gurugram