Associate Data Scientist
Gartner is hiring an Associate Data Scientist in Gurugram, India. Level rates it ; you can apply on Gartner.
Level's read on this job
- On Level's scale, this data scientist role is Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include pgvector, PyTorch and TensorFlow.
- Level classifies it as a junior role.
- Level lists 782 other open roles at Gartner.
- The role was posted in the last few days.
AI in this role
About this Role:
We are seeking an Associate Data Scientist in the Insights & Product Analytics team for high-impact data science initiatives that convert diverse data into actionable insights and decision support. At the core we are looking for a person who is passionate about learning new technologies, text analytics, digging into rows of unstructured data, drawing recommendations & insights, and using creative ways to visualize & interpret it for research. This person will have a flair for innovation along with a strong exposure to Python, Data Science, NLP, Machine Learning, LLMs and the analysis of unstructured data. They would be working closely with various stakeholders to explore opportunities to optimize data mining techniques and improve the accuracy of insights generated using NLP or various types of Machine Learning/Deep Learning/LLM models
Key Responsibilities:
Execute large scale high impact data science projects. Harness advanced technologies to extract, interpret, and visualize insights from large volumes of structured and unstructured data.
Collaborate with internal & external stakeholders to improvise on the findings, design, develop, and execute 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.
Solve most pressing business challenges with data science, ML and NLP in the center
Work as part of a team in an extremely fast-paced work environment with strict SLA’s and less turnaround time
What We’re Looking For:
Expertise with LLM customization techniques (RAG, tuning, advanced prompting, etc.)
Passionate professional with a strong appetite for learning and applying emerging AI and data science technologies.
Experience analysing unstructured data and exposure to scalable solutions.
Proven expertise in python, LLMs, NLP, advanced ML/DL algorithms, embeddings, 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 with focus on AI/Data Science.
Experience:
Overall: 1-3 years in data science/AI/ML roles.
Technical Skills:
Expertise in Data Science, ML/DL/LLM/Transformers, 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, Databricks/AWS, 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 and confluence for project documentation
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 will 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.
Ready to grow your career with Gartner? Join us.
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 +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com.
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How we rate this
Associate Data Scientist at Gartner rates 93 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data scientist job
- $168k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Walk me through how you've used pgvector in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, NLP, AI Safety, and pgvector. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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