Company Description
WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence – WNS’ core differentiator – with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.
Job Description
Data Scientist + Gen AI
Location : Gurugram
Exp - 8 - 10 Years
Immediate joiners are preferred
Role
We are looking for a senior data scientist with a proven ability to translate complex business challenges into impactful, data-driven solutions. The ideal candidate combines strategic thinking with deep technical expertise in AI and machine learning, strong communication skills, and effective stakeholder and client management.
The candidate should be highly proficient in Generative AI, Agentic AI, Python programming and end-to-end project delivery, with a track record of building high-performance GenAI/ML solutions that streamline and enhance analytical process.
Job Description
Understand customer business challenges and define appropriate analytics approaches to design effective data-driven solutions.Communicate complex technical concepts clearly and effectively to both technical and non-technical audiences, including senior business stakeholders.
Leverage the latest Generative AI tools to design and develop creative applications that address real-world problems.Apply advan
📌 Group Manager- Data Science + Gen AI (Gurugram)
🏢 WNS
📍 Gurugram