NRG Careers

Intern, Research

Date Posted: Feb 13, 2020

Location: Houston, TX, US

Company: NRG

Job Description

NRG is the leading integrated power company in the U.S., built on the strength of our diverse competitive electric generation portfolio and leading retail electricity platform. A Fortune 500 company, NRG creates value through best-in-class operations, reliable and efficient electric generation, and a retail platform serving residential and commercial businesses. Working with electricity customers large and small, we implement sustainable solutions for producing and managing energy, developing smarter energy choices and delivering exceptional service as our retail electricity providers serve almost three million residential and commercial customers throughout the country.

More information is available at Connect with NRG Energy on Facebook and follow us on Twitter @nrgenergy.


Job Summary: 


At NRG, we apply advanced analytics and modeling to address challenging business problems. Within our Texas mass markets retail business, which includes Reliant Energy, we aim to promote customized offerings: the right product offered through the right channel, with the right message at the right time for each current or prospective customer. To accomplish this, we leverage our data via predictive modeling, statistical analyses, and optimization. If you love data, programming, creative problem solving, and communicating results, you will fit right in.

Essential Duties/Responsibilities:


  • Spend the summer working with us on a research problem at the intersection of predictive modeling, optimization, and software development
  • The specific research project may vary depending on the intern’s skill set, but possible topics (including combinations of them) include:
    • Bayesian multilevel modeling
    • Econometrics
    • Machine Learning
    • Optimization / Operations Research
    • Dynamically scaled parallel computation in a cloud environment
    • Python package development
  • An example might be:
  • Building software that follows the scikit-learn API to automatically translate multilevel Bayesian model posterior parameter estimates to appropriate point estimates for fast execution times during optimization routines

Working Conditions:


  • Open office environment


Minimum Requirements:

  • Bachelor’s degree in a quantitative field is required, such as Computer Science, Statistics, Economics, Engineering, Mathematics, or Operations Research required.
  • Must be currently enrolled in an advanced degree (MS or PhD) program, quantitative field strongly preferred, such as Computer Science, Statistics, Economics, Engineering, Mathematics, Operations Research, or Energy Science and Technology.
  • Python package development
  • Statistical modeling or optimization
  • Statistical modeling or Machine Learning
  • Strong general programming skills
  • Proficiency in Python
  • Comfortable working in Linux

    Have you done any interesting software or modeling projects for fun? We would love to see them!




Preferred Qualifications:


  • Strong SQL skills / understanding of relational databases a plus
  • Probabilistic programming with a tool such as PyMC3 or PyStan a plus
  • Optimization under uncertainty also a plus



Additional Knowledge, Skills and Abilities:

  • Solid understanding of the use and interpretation of graduate level statistical techniques
  • Solid understanding of supervised and unsupervised machine learning algorithms
  • Able to write production-ready code


Physical Requirements:

  • Professional open office environment with the majority of work performed on a personal computer in a seated position.








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/Protected Veteran Status/Disability
EEO is the Law Poster (The poster can be found at

Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

Official description on file with Human Resources

Nearest Major Market: Houston