Data Science Analytics Summer Intern

APS Palo Verde is looking for Data Science Analytics Summer Intern to join their team in Tonopah, AZ

The APS Data Science Analytics Summer Intern will have the opportunity to acquire broad experience in practicing and learning data analysis, process improvement, and Human Resource fundamentals in real work settings. 

This internship offers a distinctive opportunity for students passionate about data science and analytics looking to immerse themselves in practical applications within the HR domain, focusing on operational efficiency and effectiveness enhancement through Lean Six Sigma methodologies. The selected intern will be instrumental in driving process improvements, supporting HR functions, and contributing to APS’s vision for a sustainable energy future in Arizona.

The Palo Verde Summer internship is a paid 10-week program starting in May, ending in July. During the 10 weeks at Palo Verde you will be equipped with the tools needed to thrive and be challenged with meaningful individual and group projects.  You will get support from leaders who will help you succeed. Interns will also have the opportunity to participate in a New Hire Orientation, Professional Development opportunities and company tours to learn more about Palo Verde and Arizona Public Service.  

Qualified students will receive housing during the program.

At APS, we embrace the title intern and provide you with unique opportunities to make an impact on our business, apply today!

Key Responsibilities

• Data Analysis and Process Improvement: Use statistical analysis and data modeling techniques to identify opportunities for HR process improvements. Leverage Lean Six Sigma methodologies to streamline operations, enhance employee satisfaction, and increase overall departmental efficiency.
• Project Management: Lead and contribute to projects with a focus on data-driven analysis to support HR initiatives. Utilize project management skills to ensure timely and effective implementation of process improvements.
• Collaborative Data Strategy: Work closely with HR professionals and cross-functional teams to understand data needs and apply analytics insights to solve complex HR challenges.
• Data Visualization and Reporting: Create visualizations and reports using tools such as Power BI to communicate findings and recommendations to HR leadership and stakeholders across the organization.

Throughout the internship, you will interact with various departments, offering a holistic view of APS and its operations. This role is ideal for those looking to gain hands-on experience in HR within the nuclear industry, supported by a structured program of individual and group projects, professional development, and company insights.

Program Features and Benefits:

Challenging, innovative assignments that provide real-world experience in applying business education to short term projects

Exposure and opportunities to meet with members of our Senior Leadership Team and learn about their personal experiences

In-depth education on our organization, our industry and how energy companies make money

A comprehensive understanding of the energy industry and real insight into the variety of Human Resource career tracks that are available within many utility organization

A dedicated manager and a mentor who will guide you throughout your prospective internship(s)

The chance to shadow professionals in a variety of disciplines throughout Human Resources

Professional and personal development activities and ongoing feedback and coaching on performance

Networking events with peers and members of our management team

Presentation of your summer project results to our Senior Leadership Team and the opportunity to gain insightful feedback regarding your achievements

Minimum Requirements

• Actively enrolled in an accredited college or university undergraduate program in Data Science, Analytics, Statistics, STEM, or a related field, with a strong academic record.
• Must show ongoing achievement in areas of study and training
• 3.0 GPA or higher

Official or unofficial transcripts must be attached to your online application at the time of submittal to be considered.

Preferred Special Skills, Knowledge or Qualifications:

• Familiarity with data visualization software like Power BI, Tableau, and any experience with data analysis tools and programming languages (e.g., Python, R, SQL) is preferred
• Knowledge or interest in Lean Six Sigma or other process improvement methodologies
• Strong analytical, problem-solving, and communication skills, with the ability to translate complex data into actionable insights
• Enthusiasm for applying data science and analytics within HR functions to drive improvements and outcomes