Position Overview:
Data Science

Key Responsibilities:
• The intern will design and deliver business - ready analytics solutions across Quality, Manufacturing, and Supply Chain, with measurable outputs in dashboards, data models, and AI - driven insights.
• Primary Projects & Responsibilities Develop Quality & Manufacturing Analytics Dashboards (35%) Design and build Power BI dashboards using curated data (e.g., deviations, CAPA, batch performance, equipment utilization) to provide real - time visibility into quality and manufacturing operations.
• Ownership: Dashboard design and development with guidance Outcome: 2–3 production - ready dashboards for operational use Supply Chain Planning & Inventory Analytics (25%) Analyze supply chain data (inventory levels, demand vs supply, lead times) and develop visualizations to support planning and decision - making.
• Ownership: Data analysis and visualization development Outcome: Actionable insights and dashboards to support planning teams Data Preparation & Model Support (20%) Work with IT and data teams to extract, clean, and structure data from AWS/S3, SAP, and other systems for analytics consumption.
• Ownership: Data preparation and transformation Outcome: Clean, reusable datasets supporting multiple dashboards AI/Advanced Analytics Exploration (10%) Assist in exploring AI - driven analytics use cases (e.g., trend analysis, anomaly detection in quality or supply chain data).
• Ownership: Prototype - level analysis Outcome: 1–2 proof - of - concept use cases demonstrating potential value Documentation & Knowledge Transfer (10%) Document data models, dashboard logic, and insights to ensure usability and continuity post - internship.
• Ownership: Documentation and presentation Outcome: Structured documentation and final presentation to stakeholders

Qualifications:
• Bachelor of Science in Data science

What You'll Gain:
• Learning Exposure & Development Enterprise Data & Analytics Exposure Gain hands - on experience working with real - world data from SAP, AWS/S3 data lake, and operational systems, and learn how enterprise data is structured, governed, and consumed for analytics.
• Cross - Functional Business Engagement Collaborate with teams across Quality, Manufacturing, Supply Chain, and Finance, gaining an understanding of how data supports critical business processes and decision - making.
• Visualization & Reporting Best Practices Develop skills in Power BI and data visualization, including dashboard design, KPI definition, and storytelling for business stakeholders.
• AI & Advanced Analytics Exposure Participate in early - stage AI use case exploration, gaining exposure to how AI is applied in areas such as quality monitoring, supply chain planning, and operational analytics.
• Project & Delivery Lifecycle Experience Learn how enterprise solutions are delivered through structured processes including requirement gathering, data preparation, development, testing, and stakeholder review.
• Leadership & Stakeholder Interaction Present findings and solutions to IT and business leadership, gaining exposure to executive - level communication and decision - making processes.

Amneal is an Equal Opportunity Employer that does not discriminate on the basis of sex, age, race, color, creed, religion, national origin, sexual orientation, gender identity, genetic information, disability, veteran status, liability for service in the U.S. Armed Forces or any other characteristic protected by applicable federal, state, or local laws.