Intern - Data Science, Distributed Intelligence

Itron innovates ways for utilities and cities to manage energy and water and create a more resourceful world. The Data Science Intern will support data and machine learning pipelines, cloud infrastructure, dataset preparation, exploratory data analysis, and machine learning model improvement for utility and energy solutions. The role collaborates with data scientists, engineers, product managers, and stakeholders on grid optimization, asset management, distributed energy resource integration, and customer engagement.

What you'll do:

• Support the development, maintenance, and enhancement of data and machine learning pipelines used in production environments
• Assist with the implementation and maintenance of cloud-based infrastructure while demonstrating accountability and attention to quality
• Clean, prepare, and validate moderate- to large-scale datasets (tens to hundreds of gigabytes) for analysis, model development, and operational use
• Partner with senior team members and subject matter experts to conduct exploratory data analysis (EDA) and communicate insights clearly to technical and non-technical audiences
• Contribute to research, testing, and improvement of machine learning models under the guidance of experienced data scientists
• Collaborate effectively with data scientists, software engineers, product managers, and other stakeholders to deliver innovative and customer-focused solutions
• Demonstrate an agile mindset by adapting to evolving priorities, incorporating feedback, and continuously improving work outputs
• Uphold authentic and inclusive collaboration practices that value diverse perspectives and ideas
• Support projects that help utilities improve operational efficiency, reliability, and customer outcomes

What they're looking for:

• Currently enrolled in an accredited bachelor's degree program in a related field such as Statistics, Data Science, Applied Mathematics, Computer Science, Software Engineering, or a similar discipline
• Completion of at least two years of college coursework by the internship start date
• Experience using AI agent-driven tools to support software development, testing, code review, or related technical activities
• Intermediate proficiency in Python and SQL
• Knowledge of statistical methods, data analysis techniques, and data-driven problem solving
• Exposure to machine learning through academic coursework, independent projects, research, internships, or professional experience
• Strong written and verbal communication skills with the ability to share ideas clearly and respectfully
• Demonstrated ability to work collaboratively in team environments while maintaining accountability for assigned work
• Interest in developing innovative solutions that address customer and business needs within the Utilities & Energy industry
• Previous internship, research, or professional experience related to data science, analytics, software engineering, or machine learning
• Experience using AI agent-supported tools for interactive data analysis and technical problem solving
• Familiarity with cloud platforms such as AWS or Microsoft Azure

Benefits:

• Financial programs
• Social programs
• Health and wellbeing programs
• Paid vacation
• 401k matching
• Employee stock purchase program
• Hybrid work schedule