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.

The intern will assist in synthetic data generation, data preparation, and evaluation activities that support the development and testing of AI and Generative AI solutions.This role provides an opportunity to gain hands-on experience working with modern AI technologies, datasets, and research workflows in an enterprise environment.Generate and curate synthetic datasets for AI and machine learning use cases.Assist in data collection, cleaning, validation, and preparation activities.Support the evaluation and benchmarking of AI model outputs.Develop simple Python scripts to automate data processing tasks.Document findings, observations, and experiment results.Collaborate with AI researchers and engineers on assigned tasks.

Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field.Basic programming knowledge in Python.Familiarity with data handling using tools such as Pandas and Excel.Strong analytical and problem-solving skills.Good written and verbal communication skills.Eagerness to learn and explore AI technologies.