Deputy Manager – Data Sciences
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Job Description
Data Sciences Deputy Manager developing Azure-based AI and data solutions for WNS, an intelligent operations and transformation company. Building models, pipelines, and analytics for business problems.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- Remote work option
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