Data Science Intern — Hybrid (SQL, Python, ML)

Xcel Energy Services Inc; Denver (CO); Hybrid; USD 30,000 - 39,000; Full time

Benefits offered by this job

Pension

401(k) plan

Paid time off

Holidays

Job summary

Xcel Energy is seeking a Data Science Intern in Denver to analyze large datasets, build predictive models, and help translate insights into business actions. You will work with SQL and Python, develop data visualizations, and collaborate with cross-functional teams to support data-driven decisions.

The internship is a May 24, 2027 start date with potential extension based on performance. We offer a hybrid work arrangement, a competitive benefits package, and opportunities to grow within a

Qualifications

• Current student enrolled in Computer Science, Data Science, Statistics, Math or related analytical concentration is required.
• Able to work full-time during the summer (up to 40 hours a week) and part-time during the school year (up to 20 hours a week) in-person per hybrid policy.
• May 24, 2027 start date is required.

Responsibilities

• Handle and analyze large datasets using SQL and Python.
• Develop predictive models and automate data collection processes.
• Create data visualizations to communicate findings to non-technical stakeholders.
• Collaborate with senior team members to translate data insights into business actions.
• Support data quality and integrity throughout the data pipeline.

Skills

SQL

Python

Machine learning

Data visualization

Education

Current student enrolled in college or university (CS/Data Science/Statistics/Math)

Tools

Databricks

Power BI

Posit

Job description

Xcel Energy is seeking a Data Science Intern in Denver to analyze large datasets, build predictive models, and help translate insights into business actions. You will work with SQL and Python, develop data visualizations, and collaborate with cross-functional teams to support data-driven decisions.

The internship is a May 24, 2027 start date with potential extension based on performance. We offer a hybrid work arrangement, a competitive benefits package, and opportunities to grow within a