Data Scientist – Machine Learning & AI

Role Overview

We are looking for a Data Scientist with 3 years of experience and robust fundamentals in statistics, machine learning, and AI. The role involves working on complex business problems across multiple domains, building predictive models and scalable data science solutions.

The candidate should have hands-on experience in Python, PySpark, large-scale data processing, and end-to-end machine learning model development and deployment.

Tata CLiQ has a centralized Data Science team working across diverse domains, including Search & Discovery, Supply Chain Optimization, Fraud Detection, Risk Intelligence and Personalization. The team works on compelling, high-impact problems with an exciting roadmap across traditional ML, Deep Learning, and emerging AI technologies.

Key Responsibilities

- Develop and deploy statistical, machine learning, and deep learning models to solve complex business problems.

- Work with large and complex datasets, building scalable data processing and feature engineering pipelines.

- Build predictive models and AI-driven solutions across multiple business domains.

- Own the end-to-end ML lifecycle, including model development, evaluation, deployment, and monitoring.

- Develop APIs and integrate machine learning models with production applications.

- Work on MLOps activities, model optimization, and production scalability.

- Explore and implement emerging AI technologies and LLM-based solutions.

Skills & Competencies





- Strong proficiency in Python and good working knowledge of SQL.

- Hands-on experience with PySpark and large-scale data processing.

- Strong understanding of statistics, predictive modelling, traditional machine learning algorithms, and deep learning concepts.

- Good understanding of neural networks and NLP fundamentals.

- Experience in deploying ML models, developing REST APIs, and working with production ML pipelines.

- Familiarity with MLOps practices and model deployment workflows.

- Strong problem-solving and analytical skills, with the ability to translate business problems into scalable data science solutions.

Experience & Qualification

- 3 years of relevant experience in Data Science, Machine Learning

- Hands-on experience in developing and deploying machine learning models.

- Experience working with large datasets and distributed data processing frameworks such as PySpark.

- Experience with AWS and cloud-based ML infrastructure would be an advantage.

- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Mathematics, or a related field.

Good to Have

- Knowledge of Large Language Models (LLMs) and Generative AI applications.

- Understanding of RAG architectures, embeddings, and vector databases.

- Familiarity with AI agents, agentic workflows, and frameworks such as LangChain or LangGraph.

- Exposure to AWS services /cloud-based ML platforms.

📌 Data Scientist II (Mumbai)
🏢 Tata CLiQ
📍 Mumbai