Data Science Intern CO, MN
Xcel Energy
- Location
- Denver CO 80205
- Employment
- Internship
- Work model
- On-Site
- Level
- Intern
- Salary
- $22 – $28/hr
- Posted
- Sep 7, 2026
Skills
About this role
Are you looking for an exciting job where you can put your skills and talents to work at a company you can feel proud to be a part of? Do you want a workplace that will challenge you and offer you opportunities to learn and grow? A position at Xcel Energy could be just what you’re looking for. At Xcel Energy, our employees are the driving force behind our success. So we make sure that, here, you can be your best. Doing work that makes a difference for neighbors and communities. Working with a team you can count on to push you. Expanding skills, staying ready for change, and capturing opportunities to grow. All with the support, rewards and recognition you need to thrive – during your internship and beyond. A Data Science Intern will play a crucial role in handling and analyzing large datasets to uncover valuable insights. They utilize statistical methods, machine learning algorithms, and data visualization techniques to interpret complex data. By collaborating with cross-functional teams, they help translate data findings into actionable business strategies, thereby supporting data-driven decision-making processes. Additionally, they may assist in developing predictive models, automating data collection processes, and ensuring data quality and integrity. This position often serves as a foundational step towards more advanced roles in data science, providing essential skills and experience in the field. Typical intern responsibilities may include but are not limited to: Familiar in working with the two primary languages - SQL and Python. Both are widely used for data analysis, machine learning, and visualization. Knowledge of machine learning techniques and algorithms. Experience with data visualization tools like Posit or Power BI. Understand key concepts related to managing and analyzing large datasets. This includes using statistical methods and machine learning algorithms to derive actionable insights. Translate the business goals to technical expertise. Translate data insights into actionable recommendations for decision-makers. Collaborate closely with more senior team members and learn from experienced colleagues. Effectively communicate findings to non-technical stakeholders, collaborate with team members, and present to business users. This position is for a May 24, 2027 start date. This position may have the possibility to extend beyond the internship’s initial term based on the candidate’s successful performance and Xcel Energy’s business needs.
Minimum Requirements
Current student, Senior or higher Enrolled in an accredited college or university and pursuing a degree in Computer science, data science, statistics, math or a related analytical concentration is required. Able to work full-time during the summer (up to 40 hours a week)/ part time during the school year (up to 20 hours a week) and commuting to the designated work location in-person, per our hybrid work policy.
Preferred Qualifications
Databricks Application Development skills Some Python and SQL coding skills As a leading combination electricity and natural gas energy company, Xcel Energy offers a comprehensive portfolio of energy-related products and services to 3.4 million electricity and 1.9 million natural gas customers across eight Western and Midwestern states. At Xcel Energy, we strive to be the preferred and trusted provider of the energy our customers need. If you’re ready to be a part of something big, we invite you to join our team. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Individuals with a disability who need an accommodation to apply please contact us at recruiting@xcelenergy.com . Non-Bargaining The anticipated starting base pay for this position is: $22.10 to $27.90 per hour This position is eligible for the following benefits: Pension,