Data Science Intern - Hybrid Denver, CO

Location: Denver area only

Compensation: $20-30/hour

Job Overview

The GridX product team is looking for a Data Science intern to work within our Data Science team.

You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems, bringing scientific thought and statistical methods to leverage the vast amount of data. Ultimately enabling the product team to build, develop and improve products that will revolutionize the energy industry.

When applying, please list the days and times you are available to work and specify the total number of hours you are seeking per week. We are most interested in candidates who are able to commit to at least 20+ hours per week during normal MST business hours. The length of the internship can vary depending on your weekly hour availability, but we have projects slated for up to 650 hours of work.

Roles & Responsibilities

• Research, analyze, and present findings using Python-based tools to recommend data-driven solutions that address complex business challenges in the energy sector
• Analyze large-scale time series datasets to identify trends, patterns, and insights that inform strategic decisions around customer usage and rate optimization
• Structure analytical results into clear, visual narratives that drive actionable business decisions
• Perform comprehensive data quality assurance including cleaning, validation, and usability testing to ensure reliable analytical outputs
• Support the development of thought leadership content based on data-driven insights and industry analysis
• Work across time zones in a dynamic start-up setting

Qualifications

• Seeking degree in Engineering, Computer Science, Economics, Physics, Statistics, Mathematics, Data Science, or related quantitative field
• Experience in Data Visualisation, Statistical Learning and other Data Science methods, with a particular focus on time series data
• Excellent communication, presentation, and interpersonal skills
• Proficiency in Python for data analysis and visualization

Preferred Qualifications

• Experience in the Utility or Electricity industry
• Experience with version control systems
• Experience with big data processing and distributed computing

Our Values

Our values are closely-held beliefs designed to drive the right actions and the right decisions that are authentic to GridX. We expect results delivered in a way consistent with GridX values. In exchange, we reward high performance. We:

• eXplore the possible - Everyone is empowered to innovate, fail and iterate in delivering our clean energy future. Consistent progress is our default.
• eXecute on big goals - We are owners, taking responsibility for achieving results. We think long-term, sweat the details, and use resources wisely.
• eXcel together - Collaboration and camaraderie are at our core. We cheer for and challenge each other to be our best. We win together.
• eXemplify success - We do the right thing and act with integrity, even when no one is looking. We prove that it’s possible to do well by doing good.

About GridX

GridX is the catalyst of our clean energy future. Utilities and energy technology providers rely on our analytics solutions to tell people exactly what they can expect to pay when making clean energy decisions, like changing to a time-of-use rate plan, buying an electric vehicle, installing solar and more. The result is less strain on the electric grid, happier customers, and increased consumer investment in sustainable technologies. Working at GridX puts you at the center of realizing our clean energy future.

At GridX, we value the diversity of our employees and partners. We believe that our company thrives when we support and celebrate our differences.

No recruiters or phone calls, please. GridX does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes and profiles will be considered GridX property, and GridX will not be obligated to pay a referral fee. This includes resumes submitted directly to hiring managers without contacting the Talent Acquisition Department.

We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor or take over sponsorship of an employment Visa at this time.