Life Cycle Optimization Intern

As an NRG employee, we encourage you to take charge of your career and development journey. We invite you to explore exciting opportunities across our businesses. You’ll find that our dynamic work environment provides variety and challenge. Your growth is key to our ongoing success—take the lead in shaping your career development, goals and future!

Job Summary: 

• Welcome to NRG and the epicenter of personal power. We’re driven by the idea of a smarter, cleaner, digitally-enhanced energy ecosystem—and the possibilities that brings to the world and to the six million customers we serve. 
• NRG Consumer’s Life Cycle Optimization team use a combination of technical and business skills to help NRG brands achieve their financial and strategic objectives.  An Intern Analyst on the Life Cycle Optimization team learns the job while performing hands-on analytics and modeling.

Essential Duties/Responsibilities:

• Learn the job while performing hands-on analytics and modeling
• Guide business partners to make more profitable decisions based on customer and prospect insights
• Process large amounts of data using Python and SQL
• Build predictive models based on frequentist, Bayesian, and machine learning methods
• Design and analyze experiments
• Inform and persuade business partners
• Adhere to our culture of humility, curiosity, and impact

Working Conditions:

• Hybrid 4 days per week in the Houston office

Minimum Requirements:

• Pursuing a bachelor’s degree in a quantitative discipline including but not limited to Statistics, Economics, Business, Math, and Computer Science
• Some experience programming with statistical software and database languages

Preferred Qualifications:

• Interest in using data science to improve customer experience and business profitability
• Interest in analyzing retail electricity customer data and electricity consumption data
• Basic familiarity with Python packages such as NumPy, pandas, scikit-learn, XGBoost, Matplotlib, and lifelines
• Basic familiarity of methods such as frequentist statistics, Bayesian statistics, forecasting, optimization, causal inference, machine learning, and natural language processing
• Basic familiarity with data visualization tools like Power BI
• Ability to collaborate effectively with teammates

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Vet/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

Official description on file with Talent.