Associate Data Scientist

Overview

Associate Data Scientist in the Insights & Product Analytics team, delivering high-impact data science initiatives that turn diverse data into actionable insights and decision support, with a focus on text analytics and unstructured data.

What you'll do

• 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 and external stakeholders to improve on findings, and 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 at the center.
• Work as part of a team in an extremely fast-paced work environment with strict SLAs and less turnaround time.

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: 1-3 years in data science/AI/ML roles.
• 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 and 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.
• Excellent communication, stakeholder management, problem-solving, and ability to work in fast-paced, milestone-driven environments.

Nice to have

• 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).

Details

• Location: Gurgaon.
• Work mode: Hybrid work environment, working virtually when productive and meeting colleagues in the office.