Intern - Facilities Sustainability AI

Micron Technology; Singapore; On-site; SGD 20,000 - 27,000; Full time

Job summary

Micron Technology is offering a structured internship in Singapore to develop an AI-powered Sustainability Command Center. You will work with data from energy, water, and carbon datasets to build a reliable data model and an interactive dashboard for operations and management visibility.

The role emphasizes analytics, AI-assisted insights, and automation, with mentoring from engineering, facilities, environmental health and safety, and digital teams.

Qualifications

• Familiarity with data analytics, data modelling, data visualization, or reporting automation.
• Experience with Power BI, Excel, Python, SQL, or similar tools is advantageous.
• Pursuing a university degree in Mechanical, Electrical, Energy, Environmental, Data Science, Computer Engineering, Sustainability, or related discipline.

Responsibilities

• Assist in developing an AI-powered sustainability command center using structured data models.
• Create an interactive Power BI dashboard for energy, water, cost, and carbon indicators.
• Apply AI-enabled analytics and anomaly detection to identify opportunities and trends.
• Automate selected sustainability reporting and maintain clear technical documentation.

Skills

Data analytics

Power BI

Python

SQL

Power Platform

Stakeholder engagement

Problem solving

Education

University degree in relevant field

Tools

Power BI

Python

SQL

Excel

Job description

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

Location

MSB, Singapore (990 Bendemeer Road)

Department

MSBH Facilities

Project Title

AI-Powered Sustainability Command Center

Project Description

The intern will undertake a structured engineering project focused on developing an AI-Powered Sustainability Command Center for selected energy, water, utility, cost, and carbon datasets.

Under the guidance of experienced engineering and digital professionals, the intern will assess existing data sources and reporting processes, develop a structured and reliable data model, and create an interactive dashboard for sustainability performance monitoring.

The project will also explore analytics, Artificial Intelligence, Generative AI, and automation methods for anomaly detection, insight generation, opportunity prioritization, and reporting. AI-generated outputs will remain traceable to source data and subject to appropriate engineering validation.

Objective of the Project

• Consolidate agreed sustainability and utility datasets into a structured and reliable data model.
• Develop an interactive command-center dashboard for operational and management visibility.
• Apply rule-based analytics or AI-Assisted methods to identify anomalies, trends, and improvement opportunities.
• Automate selected sustainability reporting and opportunity-tracking activities.
• Prepare clear technical documentation, user instructions, and solution-maintenance guidance.

Opportunities for Full Time Employment

High-performing interns may be considered for future internship or full-time employment opportunities, subject to business requirements, position availability, and the applicable selection process.

Project Scope

• Assess selected data sources, reporting workflows, stakeholder requirements, data ownership, refresh frequency, available history, quality gaps, and access constraints.
• Develop a structured data model and repeatable data-processing workflow for selected electricity, water, utility-system, cost, and emissions information.
• Build an interactive Power BI dashboard covering sustainability indicators, exceptions, trends, and improvement-project performance.
• Develop rule-based or AI-Enabled methods for anomaly detection, plain-language insight generation, and sustainability-opportunity prioritization.
• Create an opportunity and benefit tracker and automate selected reporting outputs using approved tools.

Learning Opportunities

• Gain practical experience with sustainability data, utility systems, data modelling, and data-quality management.
• Develop experience in Power BI dashboard design, data visualization, reporting automation, and user-centered solution development.
• Learn how Artificial Intelligence, Generative AI, AI Assistants, and Agentic AI concepts may be applied responsibly to engineering analytics.
• Build knowledge of energy, water, cost, carbon, and sustainability-performance measurement.
• Collaborate with engineering, facilities, environmental, health and safety, sustainability, digital, and business stakeholders.

Deliverables

• A documented current-state assessment and defined minimum viable product for the selected project scope.
• A structured sustainability data model with repeatable data-ingestion, transformation, and data-quality processes.
• An interactive command-center dashboard with relevant performance indicators, trends, exceptions, and drill-down capabilities.
• An AI-Enabled analytics or alerting method and an opportunity tracker covering estimated and realized sustainability benefits.
• Technical documentation, user instructions, a data dictionary, solution architecture, maintenance guidance, and a final project presentation.

Impact of the Project

• Improve visibility into selected energy, water, carbon, cost, and utility-performance indicators.
• Enable earlier identification of unusual consumption patterns, efficiency degradation, and potential improvement opportunities.
• Reduce manual effort associated with selected sustainability reporting and opportunity-tracking activities.
• Improve the consistency and traceability of sustainability performance and benefit measurement.

Skillsets Required

• Familiarity with data analytics, data modelling, data visualization, or reporting automation.
• Experience with Power BI, Microsoft Excel, Python, Structured Query Language, Power Platform, or similar tools is advantageous.
• Familiarity with Artificial Intelligence, Generative AI, AI-Assisted analytics, or AI-Enabled workflows.
• Strong analytical, structured problem-solving, communication, and stakeholder-engagement skills.
• Interest in energy management, water management, carbon accounting, facilities utilities, or environmental sustainability.

Preferred Knowledge

• Understanding of energy and water management, carbon accounting, or environmental sustainability.
• Familiarity with facilities utilities such as heating, ventilation and air conditioning, chilled water, compressed air, electrical power, or water systems.
• Knowledge of energy-performance indicators or International Organization for Standardization 50001 is advantageous.

Course of Interest

The ideal candidate should be pursuing a university degree in Mechanical Engineering, Electrical Engineering, Energy Engineering, Environmental Engineering, Data Science, Computer Engineering, Sustainability, or a related engineering or analytics discipline.

Duration of Period

The ideal candidate should be able to commit to a full time internship period of five months, from January to May 2027.

About Micron Technology, Inc.

We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.

To learn more, please visit micron.com/careers

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

To request assistance with the application process and/or for reasonable accommodations,please contact [e-mail]

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.