Data Science Engineering Intern

In This Role, Your Responsibilities Will Be:

• Develop a Power BI dashboard that predicts future past-due backlog based on Customer Required Date (CRD), Planned Ship Date (PSD), model code, value stream, and material status, enabling planners to answer, "What will be late next month?" with data-driven confidence.
• Build weekly projected late backlog forecasts, top model code risk heat maps, and simulation tools that quantify the impact of material availability, capacity constraints, and scheduling decisions on backlog recovery.
• Create a predictive surge capacity model for low-volume product lines (e.g., CMFHC) that identifies demand mix variation, highlights bottlenecks by operation, and produces growth scenario analyses to guide investment prioritization and lead time stability.
• Apply data science methodologies, including statistical modeling, forecasting, and visualization, to translate complex operational datasets into actionable insights for planners, operations leaders, and SIOP discussions.
• Collaborate with cross-functional teams including supply chain planning, operations, and engineering to validate models, gather requirements, and ensure analytical tools align with business priorities and decision‑making workflows.
• Participate in multiple analytical projects at various stages, from data exploration and model development to dashboard deployment and user training, gaining a comprehensive understanding of the data science project lifecycle in a manufacturing context.

• You are analytically minded and naturally curious, energized by turning raw data into clear, actionable insights. You take initiative in exploring new tools and methodologies, and you're not afraid to dive into ambiguous problems to find structure and meaning. You communicate complex findings in ways that resonate with both technical and non‑technical audiences. You thrive in collaborative environments and build strong relationships across teams, bringing enthusiasm and rigor to every project you touch.

• Pursuing a bachelor's degree in engineering
• Zero (0) years of related experience
• Ability to work full‑time (40 hours) per week in‑person
• Legal authorization to work in the United States

• Experience with Power BI, Tableau, or similar data visualization platforms
• Familiarity with Python, R, SQL, or statistical modeling techniques
• Prior internship or project experience in data analytics, operations research, or supply chain
• Exposure to manufacturing, supply chain planning, or ERP/MES systems

• At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives - because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact.
  
  We believe diverse teams working together are key to driving growth and delivering business results.
• We recognize the importance of employee wellbeing. Our culture prioritizes work‑life balance and offers flexible time off plans, including monthly housing allowance, paid holidays, employee choice hours, paid sick time, and paid volunteer time. You will also get hands‑on experience, professional development, and networking opportunities in our well‑established and structured internship program. There are also easy to access on‑site cafeterias, fitness facilities, employee resource groups, recognition, and much more.
• At Emerson, our employees'…