Data Science Intern — Hybrid Work, Build Real ML Models

Xcel Energy; Denver (CO); Hybrid; USD 30,000 - 38,000; Full time

Job summary

Xcel Energy is seeking a Data Science Intern in Denver to help analyze large datasets, build predictive models, and translate insights into business action. The role involves collaboration with cross-functional teams and exposure to data visualization tools in a hybrid work environment.

Ideal candidates are current students in CS/Data Science fields, capable of full-time summer work and part-time during the school year, with knowledge of SQL, Python, and basic ML concepts.

Qualifications

• Current student, Senior or higher.
• Enrolled in an accredited college or university pursuing a degree in computer science, data science, statistics, math or related analytical concentration.
• Able to work full-time during the summer (up to 40 hours/week) and part-time during the school year (up to 20 hours/week) in-person per hybrid policy.

Responsibilities

• Work with SQL and Python to analyze large datasets for insights.
• Develop predictive models and automate data collection processes.
• Translate data findings into actionable business recommendations for decision-makers.
• Collaborate with senior team members and learn from experienced colleagues.
• Communicate findings to non-technical stakeholders and present to business users.

Skills

SQL

Python

Machine learning

Data visualization

Education

Bachelor's or higher in Computer science / Data science / Statistics / Math or related analytical concentration

Tools

Databricks

Power BI

Job description

Xcel Energy is seeking a Data Science Intern in Denver to help analyze large datasets, build predictive models, and translate insights into business action. The role involves collaboration with cross-functional teams and exposure to data visualization tools in a hybrid work environment.

Ideal candidates are current students in CS/Data Science fields, capable of full-time summer work and part-time during the school year, with knowledge of SQL, Python, and basic ML concepts.