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.