- B Tech / M Tech /MCA, masters 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: 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:
- Robust 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
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📌 Data Scientist (Gurugram)
🏢 WNS Holdings
📍 Gurugram