
10,000+ employees
Founded 1996
⚖️ Legal
📦 Logistics
📣 Marketing
Legal • Logistics • Marketing
WNS is a global business process management company that operates across 13 countries with over 66 delivery centers and employs more than 62,000 people. The organization is committed to inclusivity and diversity, fostering a unique culture of co-creation and continuous learning. WNS offers various career opportunities across the Asia Pacific, Europe, Africa, and the Americas, and prides itself on its transparent and merit-based recruitment process. As a leader in its field, WNS focuses on nurturing future leaders and decision-makers while maintaining a strong emphasis on social responsibility through initiatives like the WNS Cares Foundation.
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10,000+ employees
Founded 1996
⚖️ Legal
📦 Logistics
📣 Marketing
Legal • Logistics • Marketing
WNS is a global business process management company that operates across 13 countries with over 66 delivery centers and employs more than 62,000 people. The organization is committed to inclusivity and diversity, fostering a unique culture of co-creation and continuous learning. WNS offers various career opportunities across the Asia Pacific, Europe, Africa, and the Americas, and prides itself on its transparent and merit-based recruitment process. As a leader in its field, WNS focuses on nurturing future leaders and decision-makers while maintaining a strong emphasis on social responsibility through initiatives like the WNS Cares Foundation.
• Develop data science models and algorithms to analyze data and solve business problems • Design enterprise application integrations and applications • Host and support applications on Azure Cloud • Build and maintain data processing and storage systems, data pipelines, and ETL processes • Collaborate with teams and client stakeholders to understand needs and provide data solutions • Share insights through reports and presentations • Research the latest technology trends and improve existing models and systems • Conduct research and improve model performance
• Bachelor's, Master's in Computer Science, or MCA degree, Data Science, AI/ML, IT, or related fields • B Tech / M Tech / MCA qualification • 4–5 years of relevant experience • Strong programming skills in Python or R and SQL • Proficiency in statistical analysis and machine learning techniques • Hands-on experience in NLP and NLU • Experience with data visualization and reporting tools such as Power BI • Experience with Microsoft Power Platforms and SharePoint, including Power Automate • Expertise in designing and maintaining data pipelines and ETL processes • Experience with data storage solutions such as Azure SQL • Understanding of data quality and governance principles • Experience with Databricks for big data processing and analytics • Proficiency in Azure cloud platforms • Knowledge of hosting and supporting Azure Cloud applications • Knowledge of cloud security and compliance best practices • Experience in agile methodologies and project management tools such as Jira • Ability to translate complex technical concepts into business terms • Experience working in cross-functional teams • Excellent English communication skills, written and verbal • Ability to stay updated with advancements in data science, AI/ML, and cloud technologies • Experience conducting research and improving model performance • Ownership and accountability of assigned projects • Flexibility to work on cross-team projects across all domains • Critical thinking • Self-motivated and able to work autonomously • Advanced certifications and experience with big data technologies and real-time data processing • Azure Data Scientist Associate certification • Azure Data Engineer Associate certification • Knowledge of Consumer Healthcare and Pharmaceutical Business Research is an added advantage
• Remote work option
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