Deputy Manager - Data Sciences

Deputy Manager - Data Sciences

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

Experience: Knowledge of Consumer Healthcare and Pharmaceutical Business Research would be an added advantage

Min. Qualification required to man the position:  Bachelor's, Master's in Computer Science, or MCA degree, Data Science, AI/ML, IT, or related fields

Min. Experience required to man the position: 4-5 years

Key Responsibility Indicators

Data and AI Specialist, Consulting role

Key Responsibilities:

• Python developer experienced with Azure Cloud using Azure Data bricks for
  • Data Science: Create models and algorithms to analyze data and solve business problems
  • Application Architecture: Knowledge of enterprise application integration and application design
  • Cloud Management: Knowledge of hosting and supporting applications of Azure Cloud
  • Data Engineering: Build and maintain systems to process and store data efficiently
• Collaboration: Work with different teams to understand their needs and provide data solutions. Share insights through reports and presentations
• Research: Keep up with the latest tech trends and improve existing models and systems

 

1. KEY INTERACTIONS (iNTERNAL/EXTERNAL CUSTOMERS)

 

Internal

External

Team Members

Client Stakeholders

 

1. COMPETENCIES & SKILL SET

Must have:

• 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)
• Data Engineering:
  • 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
• Cloud Management:
  • Proficiency in cloud platforms (e.g., Azure)
  • Knowledge of hosting and supporting applications of Azure Cloud
  • Knowledge of cloud security and compliance best practices
• Collaboration and Communication:
  • 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
• Research and Development:
  • Ability to stay updated with the latest advancements in data science, AI/ML, and cloud technologies
  • Experience in conducting research and improving model performance
• Must exhibit following core behaviors:
  • 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

Qualifications

Qualification: 

• B Tech / M Tech /MCA, master’s in computer, Data Science, AI/ML, IT, or related fields
• 4-5 years of relevant experience
• Proficiency in Python, R, cloud platforms (Azure), and data visualization tools like Power BI
• Advanced certifications and experience with big data technologies, real-time data processing
  • Azure Data Scientist Associate
  • Azure Data Engineer Associate

Excellent English communication skills

Experience Level

Mid Level