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Salary
≈ $23k – $47k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 21, 2026.

Overview
Company
Impact
Profile match
Tata Consultancy Services (TCS) is a global leader in IT services, consulting, and digital business solutions operating as the flagship tech subsidiary of the Tata Group. Headquartered in Mumbai, India, the company delivers end-to-end capabilities spanning cloud computing, enterprise platforms, cybersecurity, and artificial intelligence to major global enterprises. Employing over 500,000 professionals across dozens of countries, it stands as one of the world's largest IT outsourcing and technology transformation partners.

Role: Developer. Skills: Data Science. Experience: 8 - 13 Years. Qualification: Bachelor Of Computer Science

Role: Data Scientist

Roles & Responsibilities:

Role descriptions / Expectations from

the Role

Ensure

every decision touch point of the value chain incl. Production, Inventory,

Storage, Warehouse is defined in the most optimal manner leveraging data

science in the given business context.

Build state-of-the-art solutions that facilitate

data-driven decision making in specific business context to maximize ROI and

automate the decision-making process via analytical dashboards

Design and implement algorithms for Vehicle Routing

Problems (VRP), scheduling, and dynamic routing under various industry

environments to create the most efficient delivery routes, minimizing costs,

time, and fuel and maximizing utilization.

Design, model and prototype machine learning models and

algorithms to solve specific problems in the areas of Supply Chain,

Warehousing & Logistics and deliver tangible value to the business,

clearly articulated and measured by industry leading KPIs

Ability to solve complex problems by deploying advanced

optimization solutions in specific context related to multiple touchpoints of

the supply chain, viz. transport routing, warehousing picking, packing

operations, intra plant logistics using advanced MHEs like AGVs, AMRs,

Robotics etc.

Bring thought leadership in developing proprietary

& innovative solutions in niche and emerging areas in the industry

landscape leveraged through data-science.

Work collaboratively across a range of stakeholders

including DevOps, QA, Testing, Business, and cross-functional teams to

develop & implement scalable solutions in live/production environment.

Apply techniques such as linear programming (LP),

mixed-integer linear programming (MILP), and heuristics to analyze large

datasets and integrate predictive models with optimization principles.

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