Deputy Manager - Data Sciences

WNS Global Services

1d

About The Position

WNS, part of Capgemini, is a leader in intelligent operations and transformation, leveraging Agentic AI to serve over 700 clients across 10 industries. We combine deep domain expertise with AI-powered platforms and analytics to help businesses innovate, scale, adapt, and build resilience. Our purpose is to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and differentiated impact. With global headquarters across four continents, operations in 13 countries, 65 delivery centers, and over 66,000 employees, WNS delivers meaningful, measurable impact.

Requirements

• Bachelor's, Master's in Computer Science, or MCA degree, Data Science, AI/ML, IT, or related fields.
• 4-5 years of relevant experience.
• Python development in AI / ML and Data Analysis.
• Strong programming skills in Python or R, SQL.
• Proficiency in statistical analysis and machine learning techniques.
• Hands-on experience in NLP and NLU.
• Experience with data visualization and reporting tools (e.g., Power BI).
• Experience with Microsoft Power Platforms and SharePoint, including (e.g., Power Automate).
• Expertise in designing and maintaining data pipelines and ETL processes.
• Experience with data storage solutions (e.g. Azure SQL).
• Understanding of data quality and governance principles.
• Experience with Databricks for big data processing and analytics.
• Proficiency in cloud platforms (e.g., Azure).
• Knowledge of hosting and supporting applications of Azure Cloud.
• Knowledge of cloud security and compliance best practices.
• Experience in agile methodologies and project management tools (e.g., Jira).
• Ability to translate complex technical concepts into business terms.
• Experience working in cross-functional teams.
• Excellent English communication skills, both written and verbal.
• Ability to stay updated with the latest advancements in data science, AI/ML, and cloud technologies.
• Experience in conducting research and improving model performance.
• Taking ownership / accountability of the projects assigned.
• Flexibility to work on cross-team projects across all domains.
• Critical thinking.
• Self-motivated, able to work autonomously.

Nice To Haves

• Knowledge of Consumer Healthcare and Pharmaceutical Business Research would be an added advantage.
• Knowledge of enterprise application integration and application design.
• Advanced certifications and experience with big data technologies, real-time data processing.
• Azure Data Scientist Associate.
• Azure Data Engineer Associate.

Responsibilities

• Create models and algorithms to analyze data and solve business problems.
• Build and maintain systems to process and store data efficiently.
• Work with different teams to understand their needs and provide data solutions.
• Share insights through reports and presentations.
• Keep up with the latest tech trends and improve existing models and systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level