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
