Intern - DI Data Science (Summer 2024)

Apply Now

Job Description

The Distributed Intelligence (DI) team is looking for summer interns. DI from Itron helps utilities achieve a new level of distribution system visibility by combining granular data from the grid’s edge with an open-enterprise application platform. We are working on implementing and improving several unique capabilities such as high impedance detection, transformer load management, bypass-theft detection, active temperature monitoring of meters, Distributed Energy Resource (DER) integration and much more. Your work will help Itron push the boundaries on grid optimization, asset management, DER integration and customer engagement.

Duties & Responsibilities:

  • Extract and conduct Data Analysis of moderate-sized data sets (10s of GB)
  • Review and analyze data from production machine learning systems and explore methods to improve algorithms to be more performant.
  • Engage with team to review results, conduct error analysis, and create reports.
  • Collaborate with data scientists, software engineers, product line managers and stakeholders.
  • Develop dashboards/reports that provide useful insights to internal/external stakeholders.
  • Give internship summary presentation and recommendations for team during final week.

Duration: ~10 weeks, Summer 2024

Required Skills & Experience

  • Education: Enrolled in a related accredited bachelor's degree program (preference: STEM degree, statistics, data science, software engineering etc.) with completion of at least two years of college courses.
  • Solid understanding of SQL and Python.
  • Experience with statistical methods and data analysis.
  • Exposure to machine learning via classes, independent projects, or work experience.
  • Professional workplace communication skills.
  • Available to work 40 hours per week, for 10 weeks during summer 2024 (target start May/June, internship concludes August/September, depending on student academic schedule).
  • Available to work hybrid schedule, 2-3 days in office at Itron Headquarters in Liberty Lake, WA, and flexibility to work remote.

Preferred Skills & Experience

  • Understanding of power systems.
  • Related internship or work experience.
  • Enrolled in a related master’s degree program (preference: STEM degree, statistics, data science, software engineering etc.).
  • Familiarity with Tableau/Power BI/Machine learning libraries like scikit-learn/XGBoost etc.

The successful candidate’s starting wage will be determined based on permissible, non-discriminatory factors such as skills and experience.

Washington State: The base hourly wage is $15.38 – $34.62

This position also includes eligibility for some Itron benefits; paid vacation, 401k matching, employee stock purchase program, hybrid work schedule, and more!

Itron is an Equal Opportunity, Affirmative Action Employer. Qualified applicants are considered without regard to race, color, religion, sex, age, national origin, citizenship, sexual orientation, marital status, pregnancy, medical condition, veteran status, disability, genetic information, gender identity or other characteristics protected by law. If you require an accommodation in order to apply to this position, please contact your local recruiting representative at 1-800-635-5461 or email

Company Info.


Itron, a technology firm based in Liberty Lake, Washington, specializes in providing solutions for energy and water resource management in the United States. The company's range of products encompasses devices for measuring and analyzing electricity, gas, and water consumption, including measurement devices for thermal energy. In addition to hardware, Itron offers control technology, communication systems, software, and various managed and consul

  • Industry
    Electric Utility
  • No. of Employees
  • Location
    Liberty Lake, WA, USA
  • Website
  • Jobs Posted

Get Similar Jobs In Your Inbox

Itron is currently hiring Data Science Internship Jobs in Liberty Lake, WA, USA with average base salary of $15 - $35 / Hour.

Similar Jobs View More