Data Scientist_Virtual_10th Oct

Tata Consultancy Services; Kolkata District, Pune District, Chennai District; Remote; INR 1,800,000 - 2,400,000; Full time

Job summary

Tata Consultancy Services (TCS) TwinX Product Team is seeking experienced Data Scientists to solve complex business problems through data-driven insights and advanced analytics. You will work on large-scale datasets, build predictive models, and contribute to product innovation, collaborating with product, engineering, and business teams.

The ideal candidate should have strong expertise in data science, statistical modeling, machine learning, and stakeholder communication.

Qualifications

• Strong experience in data science, statistical modeling, and ML/DL techniques.
• Ability to work with structured and unstructured data.
• Experience presenting analytics to stakeholders and leadership.
• Exposure to NLP/GenAI is a plus.

Responsibilities

• Develop and deploy machine learning and predictive analytics models.
• Perform exploratory data analysis and derive actionable insights.
• Build customer/entity segmentation and recommendation models.
• Work with structured and unstructured datasets.
• Collaborate with product, engineering, and business teams.
• Present analytical findings to stakeholders and leadership teams.
• Optimize existing models and improve business outcomes.

Skills

Python

SQL

Machine Learning

Deep Learning

Predictive Modeling

Statistical Analysis

Entity/Customer Segmentation

Data Visualization

NLP/GenAI

Cloud Platforms (AWS/Azure/GCP)

Job description

Job Title:

Data Scientist

Company:

Tata Consultancy Services (TCS) TwinX Product Team

Experience:

6 to 12 Years

Mode:

Virtual on 10th Oct 26

Job Description:

TCS TwinX Product Team is looking for experienced Data Scientists who are passionate about solving complex business problems through data-driven insights and advanced analytics.

As a Data Scientist, you will work on large-scale datasets, build predictive models, develop machine learning solutions, and contribute to product innovation. The ideal candidate should have strong expertise in data science, statistical modeling, machine learning, and stakeholder communication.

Key Responsibilities

• Develop and deploy machine learning and predictive analytics models.
• Perform exploratory data analysis and derive actionable insights.
• Build customer/entity segmentation and recommendation models.
• Work with structured and unstructured datasets.
• Collaborate with product, engineering, and business teams.
• Present analytical findings to stakeholders and leadership teams.
• Optimize existing models and improve business outcomes.

Required Skills

• Python, SQL
• Machine Learning & Deep Learning
• Predictive Modeling
• Statistical Analysis
• Entity/Customer Segmentation
• Data Visualization
• NLP/GenAI exposure (preferred)
• Experience with Cloud Platforms (AWS/Azure/GCP) is an added advantage

Preferred Background

• Experience in Product Engineering or Product-Based Organizations.
• Strong analytical and problem-solving skills.
• Experience working with large-scale data environments.