Data Science Intern: ML, SQL & Visualization Focus

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

Benefits offered by this job

Pension

401(k) plan

Paid time off (PTO)

Holidays

Job summary

Xcel Energy Inc. is seeking a Data Science Intern to analyze large datasets, build predictive models, and collaborate with cross-functional teams. The role emphasizes translating data findings into business actions and communicating insights to decision-makers.

Ideal candidates are pursuing a degree in CS/DS/Statistics/Math, proficient in SQL and Python, and familiar with visualization tools such as Power BI or Databricks. Hybrid work applies with in-person commuting to the Denver area.

Qualifications

• Pursuing a degree 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) or part-time during the school year (up to 20 hours a week).
• Hybrid work policy requires commuting to the designated work location in-person.

Responsibilities

• Work with SQL and Python for data analysis, ML, and visualization.
• Apply machine learning techniques and algorithms to derive insights.
• Create and use data visualizations with tools like Power BI and Databricks.
• Understand and analyze large datasets to translate business goals into technical actions.
• Translate data insights into actionable recommendations for decision-makers.
• Collaborate with senior team members and learn from colleagues.
• Effectively communicate findings to non-technical stakeholders.

Skills

SQL

Python

Machine learning concepts

Data visualization

Education

Pursuing bachelor’s degree in CS/DS/Statistics/Math

Tools

Databricks

Power BI

Posit

Job description

Xcel Energy Inc. is seeking a Data Science Intern to analyze large datasets, build predictive models, and collaborate with cross-functional teams. The role emphasizes translating data findings into business actions and communicating insights to decision-makers.

Ideal candidates are pursuing a degree in CS/DS/Statistics/Math, proficient in SQL and Python, and familiar with visualization tools such as Power BI or Databricks. Hybrid work applies with in-person commuting to the Denver area.