Deputy Manager - Data Sciences
TypeFull-time job
LocationIndia
Posted2 hours ago
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
KEY INTERACTIONS (iNTERNAL/EXTERNAL CUSTOMERS)
Internal
External
Team Members
Client Stakeholders
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
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
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.
Originally posted on Himalayas
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
KEY INTERACTIONS (iNTERNAL/EXTERNAL CUSTOMERS)
Internal
External
Team Members
Client Stakeholders
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
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
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.
Originally posted on Himalayas
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