Hiring:Data Scientist at Tata Consultancy Services (TCS)

Apply for the Senior Data Scientist position at Tata Consultancy Services (TCS) in Chennai. Scale predictive models, optimise big data pipelines, and deploy ML Ops workflows using Python, PySpark, Databricks, and Azure.

About the Company: Tata Consultancy Services (TCS)

Founded in 1968, Tata Consultancy Services (TCS) is a premier global information technology, consulting, and business solutions enterprise. As a pillar of the historic Tata Group, TCS has spent decades building deeply integrated partnerships with the world’s largest companies. Today, TCS has a global workforce of over 600,000 specialists across 55 countries and 202 service delivery hubs, earning recognition as a top employer across six continents.

Driven by a bold vision to lead the global market as an AI-led technology services corporation, TCS is enabling its international client base to rapidly adapt across the entire artificial intelligence spectrum—from core infrastructure scaling to deep predictive intelligence. Beyond its core technology architecture, TCS is a prominent champion of global health and corporate sustainability, famously sponsoring 14 of the world’s most prestigious endurance events, including the iconic TCS New York City, London, and Sydney Marathons.

About the Role: Senior Data Scientist (ML Ops & Big Data Engineering)

Are you an experienced data science leader with a track record of parsing complex datasets, scaling big data frameworks, and moving predictive machine learning loops into continuous corporate production? Tata Consultancy Services is hiring a senior-level Data Scientist to join its elite analytics group on-site in Chennai, Tamil Nadu. This high-impact position is custom-tailored for technical pathfinders bringing 7 to 12 years of professional data science experience who excel at the intersection of mathematical theory and large-scale software engineering.

As a Senior Data Scientist at TCS, you will lead the architecture and deployment of advanced analytical models that solve complex retail and operational problems. Your day-to-day focus will center on building high-throughput data mining modules, writing optimised PySpark and Python routines within Databricks, and engineering robust machine learning pipelines. By deploying complex classification, regression, and clustering algorithms onto Cloud environments (Azure), you will transform unorganised data into production-ready intelligence engines that give enterprise clients a perpetual competitive advantage.

Key Responsibilities & Advanced Data Science Workflows

• Predictive Model Engineering: Design, stress-test, and deploy sophisticated machine learning architectures—including data classification models, multi-variable regression analysis, pattern recognition, and clustering systems.

• Big Data Pipeline Acceleration: Architect and optimise distributed big data pipelines and complex analytical queries utilising PySpark, Databricks, MS SQL, and PostgreSQL.

• ML Ops Pipeline Deployment: Establish continuous integration and continuous deployment (CI/CD) environments for machine learning models, managing model lifecycles within cloud ecosystems.

• Cross-Functional Solutioning: Partner directly with enterprise retail functions and corporate data engineering squads to translate ambiguous business objectives into technical data science products.

• Technical Team Leadership: Guide, mentor, and align engineering groups through agile frameworks (Kanban or Scrum) to solve immediate roadblocks and execute concurrent research projects.

• Data Integrity Management: Apply advanced data mining, mathematics, and statistical filtering to extract precise business insights from messy, unstructured, or incomplete datasets.

• Executive Intelligence Presentation: Translate dense statistical arrays into clear, scannable corporate visualisations using platforms like Tableau to support high-stakes executive decisions under tight business timelines.

Candidate Prerequisites & Key Technical Skills

Successful candidates must balance deep academic knowledge of advanced statistical math with practical execution skills across scalable cloud architectures.

Required Experience & Educational Baseline:

• Professional Tenure: 7+ years of verifiable professional work experience explicitly dedicated to Data Science and advanced Python programming.

• Academic Foundation: Bachelor’s Degree (BS / B.E. / B.Tech) in Computer Science, Engineering, Statistics, or a related quantitative IT discipline.

• Core Engineering Stack: Complete practical fluency using Python, Java, SQL, PySpark, and Databricks to manipulate massive distributed data records.

• Mathematical Mastery: Thorough knowledge of data structures, algorithmic design principles, pattern recognition mechanics, and advanced statistical analytics.

Preferred Qualifications & Strategic Competencies:

• Cloud Architecture Domain: Hands-on experience scaling data pipelines within Azure Cloud spaces. Candidates holding official Azure DevOps or Azure Architecture certifications will be highly prioritized.

• Functional Background: Prior experience managing analytics for global Retail functions or heavy Data Engineering pipelines.

• Agile Methodology Delivery: Comfortable operating within collaborative, dynamic, research-driven environments utilizing Kanban or Scrum delivery cadences.

• Leadership & Communication: Strong interpersonal skills with a proven capability to lead on-site groups, present clear business-first technical paths, and maintain quality under tight daily delivery windows.

Core Position Specifications

• Position Title: Data Scientist (Senior / Lead Track)

• Hiring Organization: Tata Consultancy Services (TCS)

• Corporate Work Location: Chennai, Tamil Nadu, India

• Experience Allotment: 7 – 12 Years of specialized data science industry track

• Walk-in Venue Destination: TCS Magnum Office Campus, Chennai

• Remuneration Allotment: Competitive corporate salary aligned with senior market standards (Not Disclosed)

• Employment Framework: Full-Time, Permanent corporate assignment

• Functional Focus: Core Machine Learning, PySpark Big Data Engineering, ML Ops, and Predictive Analytics

• Industry Placement: IT Services & Consulting / Advanced Analytics Solutions

• Functional Department: Data Science & Analytics

⚠️ Recruitment Fraud Alert Notification: Rooted in the rich heritage of the Tata Group, integrity remains our highest core value throughout our operations. TCS never requests any form of cash deposits, processing fees, or financial transactions at any stage of our recruitment and profile evaluation cycles. Candidates are advised to verify all direct invitations via the official TCS Careers channel.