Lead Data Scientist (Agentic AI, RAG, GenAI/LLM, Classical ML)

Gartner Inc.; Gurugram District; On-site; INR 4,500,000 - 6,500,000; Full time

Benefits offered by this job

Group Medical Insurance

Parental Leave

Paid time off

Charity match program

Employee Assistance Program (EAP)

Job summary

Gartner Inc. seeks a Lead Data Scientist in India to spearhead high-impact AI initiatives that convert diverse data into actionable insights and decision support. You will guide research, drive revenue growth, and collaborate across stakeholders while hands‑on technically leading the work.

Expected 8+ years in data science with 6+ years applying ML/DL, NLP, and LLMs to real-world problems. Strong Python, AI stack, and governance skills are essential for success.

Qualifications

• 8+ years in data science/AI/ML roles.
• Hands-on 6+ years applying ML/DL, NLP, and LLMs to real-world problems.
• Proven expertise in Python, AI/LLM stacks, and prompting techniques.

Responsibilities

• Lead high-impact data science initiatives converting diverse data into actionable insights.
• Design, develop, and implement AI solutions that improve engagement, retention, and cost efficiency.
• Mentor a high-performing team of data scientists and promote a culture of innovation.

Skills

LLMs

RAG pipelines

Agentic AI

NLP

Knowledge graphs

Prompt engineering

Vector databases

Cloud platforms

Model evaluation

Education

Bachelor’s or Master’s in CS/Engineering/Statistics/Math

Tools

Python

SQL

TensorFlow

PyTorch

spaCy

NLTK

Pandas

NumPy

scikit-learn

Job description

About this Role

We are seeking a Lead 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, developing, and implementing solutions that drive research excellence, operational efficiency, and revenue growth. This role requires hands‑on technical leadership as well as collaboration with multiple cross‑functional stakeholders.

Key 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.

What We’re Looking For

• Proven expertise in Python, Agentic AI, RAG pipelines, LLMs, NLP, knowledge graphs and advanced ML/DL algorithms.
• 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).

What You’ll Need

Education

Bachelor’s or Master’s in Computer science, Engineering, Statistics, Mathematics, or related field from a reputed college.

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)
• Practical experience with AWS, Azure, or GCP for model training, deployment, and scaling.
• 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.

What you’ll get

• 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 #LI‑GR2

Who are we? At Gartner, Inc. (NYSE:IT)

We guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission‑critical priorities.

Since our founding in 1979, we’ve grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories.

We do important, interesting and substantive work that matters.

That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference.

The bar is unapologetically high.

So is the impact you can have here.

What makes Gartner a great place to work?

Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally.

How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team.

Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results.

This is why, year after year, we are recognized worldwide as a great place to work.

Gartner is the world authority on AI

At Gartner, you’ll join a company at the very center of the AI revolution.

Gartner has proactive, objective guidance throughout clients’ AI journeys.

We set the standard for how organizations leverage artificial intelligence to drive meaningful impact.

You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.

It’s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate.

If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you.

What do we offer?

Gartner offers world‑class benefits, highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it’s productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Equal Employment Opportunity

The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status or any other legally protected status and to seek to advance the principles of equal employment opportunity.

Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career web page as a result of your disability.

You may request reasonable accommodations by calling Human Resources at [phone] or by sending an email to [e-mail].