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Gurugram · Hybrid · 5-8 Yrs · Oct 23
Business consulting · 10000+ Employees · Stamford, US
At Gartner, our teams work together to fuel the future of business and shape a more successful world. Our people are our most valuable asset, enabling us to get better, faster and stronger year after year. Looking for a place to thrive and make a visible impact? Gartner is the place for you. Head to our careers blog to take a behind-the-scenes look at our organization: https://jobs.gartner.com/life-at-gartner/ Gartner, Inc. (NYSE: IT) is the world’s leading research and advisory company and a member of the S&P 500. We equip business leaders with indispensable insights, advice and tools to achieve their mission-critical priorities today and build the successful organizations of tomorrow. Our unmatched combination of expert-led, practitioner-sourced and data-driven research steers clients toward the right decisions on the issues that matter most. We are a trusted advisor and an objective resource for more than 14,000 enterprises in more than 100 countries — across all major functions, in every industry and enterprise size. To learn more about how we help decision makers fuel the future of business, visit gartner.com. Mission: We equip leaders with indispensable insights, advice and tools to achieve their mission-critical priorities and build the successful organizations of tomorrow. Learn more about Gartner here: https://jobs.gartner.com/
Hiring: Engineering
What employees say
+ Great work culture and wok life balance. Brand name gives to access to lot of CXO in the market.
− Difficult career growth and shift in job roles
More reviews on the company profile.
Interview experience · Manager, Dashboards & Reporting, Financial and Future Planning
I would like to share feedback about my interview experience for the Manager, Dashboards & Reporting role. I found the interview disappointing, particularly because the level and style of questioning did not seem al
Very_difficult difficulty · Gurgaon, Haryana · 423 reports
More interview insightsJob description
Overview
We are seeking a Lead Data Scientist to lead high-impact data science initiatives that convert diverse data into actionable insights and decision support.
Responsibilities
- Harness advanced technologies to extract, interpret, and visualize insights from large volumes of structured and unstructured data.
- Collaborate with stakeholders to design, develop, and implement cutting-edge solutions that deliver insights through Machine Learning, Deep Learning, and Generative AI techniques.
- Innovate in text analytics and develop creative approaches for interpreting complex datasets to deliver impactful recommendations.
- Own high-visibility programs that translate business objectives into measurable results such as improved engagement, retention, and cost efficiency.
- Build text analytics and knowledge retrieval capabilities for large-scale unstructured data to generate accurate, explainable insights.
- Define standards for evaluation, guardrails, prompt engineering, retrieval quality, and hallucination control to ensure trustworthy AI.
- Enforce best practices in documentation, code reuse, and model lifecycle management while enhancing algorithms to meet evolving needs.
- Ensure responsible AI practices covering data privacy, IP, safety, and auditability.
- Mentor and develop a high-performing team of data scientists, fostering a culture of innovation and impact.
Qualifications
- Experience utilizing the AI tech stack (LLMs, workflows, tools/plug-ins, agents, multi-model capabilities, etc.)
- Expertise with LLM customization techniques (RAG, tuning, advanced prompting, etc.)
- Passionate leader with a strong appetite for learning and applying emerging AI and data science technologies.
- Experience analysing unstructured data and building scalable solutions.
- Ability to foster innovation and drive adoption of next-generation AI tools for impactful business outcomes.
- Strong knowledge of model serving, monitoring and evaluation frameworks.
- Proven expertise with vector databases, knowledge databases, embeddings, feature stores, and cloud platforms (Azure/AWS).
- Proficiency in prompt engineering, responsible AI practices, and governance (privacy, auditability, compliance).
- Proven expertise in Python, Agentic AI, RAG pipelines, LLMs, NLP, knowledge graphs and advanced ML/DL algorithms.
Education
- Experience:
- Overall: 8+ years in data science/AI/ML roles.
- Hands-on: 6+ years applying ML/DL, NLP, and LLMs to real-world business problems, including text mining and unstructured data analysis.
- Technical Skills:
- Expertise in Agentic AI, RAG pipelines, LLMs, prompt engineering, and evaluation frameworks.
- Well-versed in a wide range of ML algorithms, advanced statistics, and natural language processing.
- Advanced proficiency in Python and SQL, with strong experience in libraries such as Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, SpaCy, NLTK.
- Hands-on experience with vector databases (FAISS, pgvector etc) o Practical experience with AWS, Azure, or GCP for model training, deployment, and scaling. o Familiarity with distributed computing (Spark/Databricks).
- Strong background in data preparation, cleaning, normalization, and handling large-scale unstructured text data.
- Knowledge of responsible AI, privacy, auditability, and code management using GitHub/Bitbucket.
- Basic visualization skills in Excel, Power BI, or Streamlit for dashboards and insights.
- Soft Skills: Excellent communication, stakeholder management, problem-solving, and ability to work in fast-paced, milestone-driven environments.
- Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!
- Collaborative, team-oriented culture that embraces diversity
- Professional development and unlimited growth opportunities
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Job application FAQ
Last updated 4 November 2026
- How do I apply for Lead Data Scientist (Agentic AI, RAG, GenAI/LLM, Classical ML) at Gartner?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Gartner may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Lead Data Scientist (Agentic AI, RAG, GenAI/LLM, Classical ML) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead Data Scientist (Agentic AI, RAG, GenAI/LLM, Classical ML) remote or on-site in Gurugram, Haryana?
- This listing is marked hybrid with location Gurugram, Haryana. Confirm details on the job description before applying.
- What skills matter for this Lead Data Scientist (Agentic AI, RAG, GenAI/LLM, Classical ML) role at Gartner?
- This is a lead Lead Data Scientist (Agentic AI, RAG, GenAI/LLM, Classical ML) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.