Intern

Job Description Summary

Work to support the QA business with newer analytics, reporting, and data science solutions

 

Job Description

Responsibilities:

• Engineer key data science analytical insights into simple, intuitive, and well-designed tools and services
• Provide best data science, AI/ML solutions for a variety of business applications including but not limited to: Predictive analysis, Event Prediction, Modelling Response, Optimization
• Plan, execute and deliver projects in Quality Innovation. Act as the liaison between business and IT
• Support the development and optimization of Quality Analytics front end applications and data management systems (data lake and warehouse). Capture requirements, prioritize, and support plan releases.
• Work in compliance with Computerized Systems Validation procedure

Qualification:

• Information Technology or related field. BE, BTech, MCA, MTech in Computer Science or equivalent
• Excellent programming skills in SQL, Python, R, Java etc.
• Desirable to have basic concepts in Statistics, ML, and AI
• Excellent data handling and analytics skills
• Strong problem-solving and analytical skills with a keen attention to detail.
• Good communication and teamwork skills, with the ability to work effectively in a collaborative environment.
• High level understanding of QA principles & Pharmaceutical Regulatory requirements is a plus
• Understanding of Cloud technology, AWS, and familiarity with GenAI would be added advantage
• Familiarity with IT system architectures desired

Skills:

• Continuous Learning.
• Dealing With Ambiguity.
• Gmp Procedures.
• Quality Standards.
• Python Programming, Power BI, SQL
• Data Science and ML concepts
• Self Awareness.
• Technological Expertise.
• Technological Intelligence.

Languages :

• English.

 

Skills Desired

Continued Learning, Dealing With Ambiguity, Gmp Procedures, Qa (Quality Assurance), Quality Control (Qc) Testing, Quality Standards, Self-Awareness, Technological Expertise, Technological Intelligence