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Denver, CO

Internship

Hybrid

$22.10/hr - $27.90/hr

Intern

Xcel Energy is a combination electricity and natural gas energy company serving customers across Western and Midwestern states. The Data Science Intern will analyze large datasets using statistical methods, machine learning, and data visualization, while collaborating with cross-functional teams to support data-driven business decisions. The role may also involve developing predictive models, automating data collection, and ensuring data quality and integrity.

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Responsibilities

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

Qualification

Required

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
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