Lead Data Scientist

Gohyred; Haryana; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Gartner is seeking a Lead Data Scientist in India (Haryana) to drive AI-powered insights across conferences and events. You will lead building and deploying large-scale ML/NLP models, recommender systems, and AI agents while collaborating with product, engineering and business teams.

The role focuses on production-grade ML pipelines, model monitoring, and data-driven decision support. Strong communication with non-technical stakeholders is essential.

Qualifications

• 8+ years hands-on data science experience; advanced degree preferred.
• Experience with GenAI dev tools and frameworks.
• Experience building recommender systems and NLP models.
• Strong Python skills and ML/DL libraries.
• Experience deploying ML solutions with CI/CD and MLOps.
• Ability to communicate complex concepts to non-technical stakeholders.

Responsibilities

• Enhance and productize AskGartner with AI insights.
• Fine-tune LLM-based products and agents.
• Develop recommender systems for conferences.
• Build and roll out ML/NLP models for attendee and exhibitor growth.
• Collaborate with business to define requirements and deliver quick POCs.
• Improve data pipelines, model monitoring, and training.
• Create evaluation frameworks tied to measurable metrics.
• Develop analytics and insight dashboards for strategic decisions.
• Collaborate with engineering on production-grade microservices.

Skills

Data science

GenAI tools

Python

ML/DL frameworks

CI/CD

Big data (PySpark)

Cloud platforms

Education

Master's degree in CS/Statistics/Math

Tools

LangGraph

Langchain

Langfuse

PySpark

TensorFlow

PyTorch

HuggingFace

Claude-code

Copilot

AWS

GCP

Azure

Job description

What makes Gartner a GREAT fit for you?

When you join Gartner, you’ll be part of a fast\-growing team that helps the world become smarter and more connected. We’re the leader in our industry, achieving double\-digit growth by helping clients make the right decisions with business and technology insights they can’t find anywhere else. Our associates enjoy a collaborative work environment, exceptional training and career development – as well as unlimited growth potential. If you like working with a generous, supportive, high\-performing team, Gartner is where you want to be.

Who we are?

Gartner is a people business. Fueled by expert analysis, bold ideas and intellectual courage - we are a team of thinkers, doers and lifelong learners. We are innately curious, driven, disciplined and humble.

The Digital Experience Platform is the go‑to place for all clients to interact with Gartner to get value. Our clients are IT and business leaders around the world. They expect to get help from Gartner on their most critical priorities. The Digital Platform is embedded in their workflows to help them on every step of their journey.

Our mission is to deliver tremendous client value by building scalable, intelligent digital products and solutions. We are constantly looking for product management, UX and data science leaders to help us accelerate innovation to disrupt the marketplace and disrupt ourselves.

About the role

As a Lead Data Scientist, you will:

• Build and enhance AskGartner (Gartner’s AI Advisor) with insights and capabilities from Gartner events and ensure seamless user experience between Events and Gartner.com digital platforms
• Build in‑house Agentic products \& fine tune LLMs to improve AskGartner and Gartner conferences’ Agentic products
• Build \& optimize Recommender systems for Gartner Global Conferences. These models ensure improved user experience before, during and after a conference
• Build \& Roll‑out ML/NLP/Deep learning models to improve Attendees/Exhibitor acquisition \& retention
• Work closely with business to refine requirements around conferences business, build quick POCs, present findings in a consumable report or streamlit app
• Enrich conferences client dataset by leveraging scraping, predictive and generative ai tooling \& capabilities
• Improve upon MLOps capabilities by building and optimizing data pipelines, model monitoring and training capabilities
• Build Evaluation Frameworks to ensure products development are tied to metrics that move the needle and can be measured offline
• Automated solutions that help conferences business and strategy teams with analytics and insights capabilities for efficient decision making
• Work closely with business and engineering counterparts to develop \& deploy solutions involving production grade micro‑services, data pipelines, insight dashboards

Qualifications

The ideal candidate will have

• 8\+ years of hands\-on experience in data science alongside a degree in computer science, statistics, mathematics or a related field. Masters or PHD highly preferred
• Hands on experience with GenAI dev tools and frameworks like LangGraph/Langchain, Langfuse
• Experience building recommender systems, search engine & query pipelines for end user applications
• Experience building and deploying enterprise grade machine learning/NLP/Deep learning, AI Agents in close collaboration with engineering and product managers
• Experience leveraging and fine‑tuning Large Language Models (LLMs) or building/distilling SLMs is a plus
• Solid programming skills in Python, data science libraries (scikit\-learn, TensorFlow/PyTorch, HuggingFace, etc.) and GenAI tools like claude\-code, copilot
• Experience building and deploying machine learning models in close collaboration with engineering – good understanding of CI/CD pipelines
• Hands\-on experience with big data technologies (PySpark) and familiarity with cloud platforms (AWS, GCP, Azure) to explore insights and working with complex datasets
• Strong ability to communicate technical concepts to non\-technical audiences

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.

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 webpage 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].