Data Science Intern at The Energy Authority

Feedinkoo; United States; Remote; USD 36,000 - 48,000; Full time

Job summary

The Energy Authority invites students to join its Corporate Analytics team as a Data Science Intern. You will design advanced statistical and machine learning models and build dashboards for internal and external stakeholders.

Must be enrolled in an Information Technology–related program. Proficiency in Python/R, SQL, and statistics is ideal; Git and basic HTML/CSS/JS knowledge is a plus. The internship runs 3–6 months with remote options for candidates.

Qualifications

• Pursuing or holding a quantitative degree in IT or related field.
• Strong knowledge of statistics and ML techniques.
• Experience with Python or R for data analysis and modeling.

Responsibilities

• Design, develop, and refine statistical and machine learning models.
• Build dashboards for internal and client stakeholders.
• Manage projects from initial research to production.

Skills

Python

R

SQL

Data Analytics

Problem-Solving

Communication

Education

Bachelor's in Engineering/Math/Data Science

Master's in Statistics/Data Science (plus)

Tools

Git

R-Shiny

HTML/CSS/JS basics

SQL/noSQL databases

Job description

Internship Position

Must be currently enrolled in Information Technology related program at a college or university.

About The Energy Authority

The Energy Authority is a public power‑owned, nonprofit corporation with offices in Jacksonville, Florida, and Bellevue (Seattle), Washington. TEA provides public power utilities with access to advanced resources and technology systems so they can respond competitively in the changing energy markets. Through partnership with TEA, utilities benefit from an experienced organization that is singularly focused on deriving the maximum value of their assets from the market.

Why You’ll Love This Role

Join a dynamic team at the heart of innovation in energy markets. As a Data Science Intern with our Corporate Analytics team, you’ll work alongside passionate professionals with diverse expertise. Your contributions will be highly visible and impactful, helping public power utilities thrive. You’ll solve challenging problems using machine learning, statistics, and advanced analytics. This role is designed to offer you continuous learning opportunities and the chance to see the direct impact of your work.

What You’ll Do

• Design, develop, and refine advanced statistical and machine learning models to meet client objectives.
• Build intuitive tools and dashboards for internal and external stakeholders.
• Manage projects from initial research to production, ensuring a seamless lifecycle.
• Explore new methods for solving complex machine learning challenges.
• Follow best practices like code reviews and utilizing R packages and Git repositories.
• Apply your knowledge of statistics, data modeling, and advanced mathematics to extract valuable insights for our clients.
• Seek opportunities to generalize solutions that can benefit multiple clients.
• Present your results clearly, using both written and visual storytelling, to clients and internal teams.

Who You Are

• You hold (or are pursuing) a Bachelor’s degree in Engineering, Mathematics, Data Science, or a related quantitative field.
• A Master’s degree or higher in Statistics, Applied Mathematics, Physics, Data Science, or similar fields is a plus.
• You have experience with Operational Research as it pertains to Data Science.
• You have strong problem‑solving and communication skills.
• You’re proficient in data analytics using R/Python and have hands‑on experience with statistical techniques and machine learning models such as regression, stochastic modeling, neural networks, and more.
• You’re comfortable working with SQL/noSQL databases and have a basic understanding of web design (HTML, CSS, JavaScript) with a preference for R‑Shiny.
• You have a knack for writing clean, scalable, and reusable code.
• Familiarity with the Electric Utility Industry is preferred but not required.

Internship Details

Duration: 3–6 months, with a minimum of 10 weeks full‑time (40 hours/week). Part‑time hours may be available after the initial 10 weeks.

Location: Preference for candidates based in Seattle, WA and/or willing to relocate for at least 10 weeks. Remote candidates will also be considered.

Compensation

Competitive base salary ranges based on role, level, and location: $26.00 – $35.00 per hour.

Education/Experience

Must be currently enrolled in Information Technology related program at a college or university.