Data Scientist - Machine Learning, NLP and Large Language Models

Gartner India Research & Advisory Services Private Limited; Gurugram District; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Group Medical Insurance

Parental Leave

Employee Assistance Program (EAP)

Job summary

Gartner India Research & Advisory Services Private Limited seeks a Data Scientist to lead high-impact data science initiatives, turning diverse data into actionable insights and decision support. You will design, implement, and scale ML/AI solutions to drive research excellence, efficiency, and growth.

You will collaborate with technical leaders and domain experts to frame problems, translate ambiguous questions, and deliver production-ready workflows, including RAG/agent systems and prompt

Qualifications

• 3–6 years in applied ML / applied AI with hands-on production experience.
• Degree in Computer Science, Statistics, Mathematics or related quantitative field; equivalent expertise welcome.
• Experience across supervised/unsupervised learning, optimization, recommendations, forecasting and LLM/agentic systems / RAG.

Responsibilities

• Frame problems with stakeholders and define success metrics.
• Translate questions into analytical problems and recommend ML/AI or classical analytics approaches.
• Develop methodologies and deliver production-ready solutions.
• Evaluate models and scale winners into production RAG/agent workflows with guardrails.

Skills

Applied ML

Python

LLM / AI

NLP

Spark

BigQuery

Education

Bachelor's degree in CS

Master's degree

Tools

PyTorch

LangChain

LangGraph

BigQuery

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 fast, 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
• Demonstrated experience working across multiple areas such as supervised ML, unsupervised ML, optimization, recommendation systems, forecasting, and LLM/agentic systems/ RAG, agentic workflows, evaluation frameworks, prompt engineering, fine-tuning trade-offs, and vector databases
• Proven track record of owning solutions end-to-end—from problem framing and method selection to productionization, monitoring, and iteration in real-world environments
• Experience with graph algorithms is a plus (knowledge graphs, graph traversal, community detection, graph rag etc
• Experience in business applications such as churn analysis, customer profiling, and recommendation systems
• NLP techniques: vector databases, embeddings, topic modeling, and fine-tuning of transformer models like BERT to enhance text analytics capabilities
• Expert-level Python. Comfortable with the scientific stack (NumPy, pandas, scikit-learn, PyTorch) and with writing clean, tested, modular code
• Distributed computing (Spark / Snowflake / BigQuery) for large-scale data and training
• Cloud (AWS / Azure / GCP) — model training, deployment, scaling, cost-awareness
• Working knowledge of Agentic AI Frameworks like LangChain, LangGraph and Deep-Agents or equivalent
• Deep learning fundamentals: understanding when to apply deep learning approaches and how to train and evaluate them effectively in practice

What we offer

• Problems worth solving.
• Real ambiguity, real scale, real impact — not toy problems wrapped in a framework
• A seat at the table.
• Direct partnership with leadership on what we build and why
• 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-PM3
• 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.

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.

Our diversity and inclusion

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.

Equal 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 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] .