Data Scientist II

Tata CLiQ; Mumbai; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Tata CLiQ is seeking a Data Scientist specializing in Machine Learning & AI to tackle complex business problems across domains such as Search & Discovery, Supply Chain, Fraud Detection, and Personalization. The role emphasizes end-to-end ML lifecycle, scalable data processing, and production-ready model deployment.

Candidates should have 3+ years of hands-on ML experience, strong statistics foundations, and proficiency in Python, PySpark, and SQL.

Qualifications

• 3 years of relevant experience in Data Science and ML.
• Hands-on experience in developing and deploying ML models.
• Experience with large datasets and distributed data processing (e.g., PySpark).
• Experience with AWS and cloud-based ML infrastructure is advantageous.
• Bachelor's or Master's degree in CS/Engineering/Statistics/Mathematics or related field.

Responsibilities

• Develop and deploy statistical, ML, and deep learning models to solve complex business problems.
• Work with large datasets, building scalable data processing and feature engineering pipelines.
• Build predictive models and AI-driven solutions across multiple domains.
• Own the end-to-end ML lifecycle: model development, evaluation, deployment, monitoring.
• Develop APIs and integrate ML models with production applications.
• Engage in MLOps, model optimization, and production scalability.
• Explore and implement emerging AI technologies and LLM-based solutions.
• Strong proficiency in Python and SQL; hands-on PySpark experience.

Skills

Python

PySpark

SQL

ML algorithms

Education

Bachelor's/Master's in CS/Engineering/Statistics/Math

Tools

AWS

Job description

3 - 5 Years

On Roll

Job Description

DataScientist – Machine Learning & AI

RoleOverview

We arelooking for a Data Scientist with 3 years of experience and strong fundamentalsin statistics, machine learning, and AI. The role involves working on complexbusiness problems across multiple domains, building predictive models andscalable data science solutions.

Thecandidate should have hands-on experience in Python, PySpark, large-scale dataprocessing, and end-to-end machine learning model development and deployment.

Tata CLiQhas a centralized Data Science team working across diverse domains, includingSearch & Discovery, Supply Chain Optimization, Fraud Detection, RiskIntelligence and Personalization. The team works on interesting, high-impactproblems with an exciting roadmap across traditional ML, Deep Learning, andemerging AI technologies.

KeyResponsibilities

• Developand deploy statistical, machine learning, and deep learning models to solvecomplex business problems.
• Work withlarge and complex datasets, building scalable data processing and featureengineering pipelines.
• Buildpredictive models and AI-driven solutions across multiple business domains.
• Own theend-to-end ML lifecycle, including model development, evaluation, deployment,and monitoring.
• DevelopAPIs and integrate machine learning models with production applications.
• Work onMLOps activities, model optimization, and production scalability.
• Exploreand implement emerging AI technologies and LLM-based solutions.
• Strongproficiency in Python and good working knowledge of SQL.
• Hands-onexperience with PySpark and large-scale data processing.
• Strongunderstanding of statistics, predictive modelling, traditional machine learningalgorithms, and deep learning concepts.
• Goodunderstanding of neural networks and NLP fundamentals.
• Experiencein deploying ML models, developing REST APIs, and working with production MLpipelines.
• Familiarity with MLOps practices and model deployment workflows.
• Strongproblem-solving and analytical skills, with the ability to translate businessproblems into scalable data science solutions.

Experience& Qualification

• 3 years ofrelevant experience in Data Science, Machine Learning
• Hands-onexperience in developing and deploying machine learning models.
• Experienceworking with large datasets and distributed data processing frameworks such asPySpark.
• Experiencewith AWS and cloud-based ML infrastructure would be an advantage.
• Bachelor'sor Master's degree in Computer Science, Engineering, Statistics, Mathematics,or a related field.

Good toHave

• Knowledgeof 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 LangChainor LangGraph.
• Exposureto AWS services /cloud-based ML platforms.

Job Snapshot

Updated Date

12-11-2026

Job ID

Job-563

Department

Technology

Location