WNS Hiring For Data Scientist - AIML

Job Description We are looking for an AI/ML-focused Automation Engineer who can design and implement intelligent, data-driven automation solutions. This role emphasizes leveraging Python and AI/ML techniques to build smart automation systems, with Power Automate and RPA tools used to orchestrate and operationalize workflows.

The ideal candidate will combine strong programming skills with a solid understanding of machine learning concepts and process automation.

Key Responsibilities• Design and develop AI/ML-driven automation solutions using Python, focusing on intelligent decision-making and data processing.• Build and integrate machine learning models for use cases such as document processing, classification, prediction, and sentiment analysis.• Develop Python-based automation scripts for data extraction, transformation, API integrations, and workflow optimization.• Integrate AI/ML capabilities into business processes using tools like Microsoft Power Automate and RPA platforms.• Orchestrate end-to-end automation workflows by combining AI models with Power Automate (Cloud and Desktop flows).• Work with structured and unstructured data (documents, emails, images) to create intelligent automation pipelines.• Collaborate with business stakeholders to identify opportunities for AI-driven automation and translate them into scalable solutions.• Monitor, evaluate, and improve model performance and automation reliability.• Debug, test, and maintain automation pipelines to ensure efficiency and scalability.• Prepare technical documentation for models, scripts, workflows, and integrations.• (Optional .NET Add-on) Develop backend services or APIs in .NET (C#) to support AI-powered automation systems.

Qualifications

Required Skills & Experience• Bachelors degree in Computer Science, Engineering, Data Science, or a related field.• Minimum 1 year of experience in Python development, AI/ML, or intelligent automation.• Strong proficiency in Python, including libraries such as Pandas, NumPy, and basic ML frameworks (e.g., scikit-learn).• Understanding of core machine learning concepts (classification, regression, NLP basics).• Experience working with APIs (REST) and integrating multiple systems.• Exposure to handling structured and unstructured data for automation use cases.Preferred Skills (Good to Have)• Experience with NLP, document intelligence, or chatbot frameworks.• Familiarity with LLM-based workflows and AI-assisted automation (e.g., prompt engineering, agents).• Hands-on experience with Microsoft Power Automate (Cloud/Desktop flows) or other RPA tools (UiPath, Automation Anywhere).• Experience with cloud platforms such as Microsoft Azure (AI services, Functions, Logic Apps).• Knowledge of Power Platform (Power Apps, Dataverse).• Exposure to .NET (C#) for API or backend development.• Familiarity with version control systems like Git.