AmericaBy CountryCareersOpportunitiesTraining Opportunities

Data Science Intern

Data Science Intern - PG&E Corporation

Summary:

Become a data whiz at PG&E! This Data Science Internship offers a chance to develop your skills and contribute to real-world challenges in the energy sector. You’ll work alongside experienced data scientists, tackling projects that help PG&E deliver safe, reliable, and clean energy. Gain valuable experience at the forefront of data-driven decision-making in a dynamic industry.

Qualifications:

  • Currently enrolled in a bachelor’s or master’s program in Data Science, Statistics, Computer Science, or a related field (preferred).
  • Strong analytical and problem-solving skills with a passion for data.
  • Proficiency in programming languages like Python and R (or similar).
  • Familiarity with data analysis tools and techniques (e.g., machine learning, data visualization).
  • Excellent communication and collaboration skills.

Responsibilities:

  • Assist data scientists with collecting, cleaning, and analyzing large datasets.
  • Participate in developing and implementing data-driven solutions for energy-related challenges.
  • Gain exposure to machine learning applications in the utility industry (potential).
  • Contribute to data visualization projects to communicate insights effectively.
  • Help maintain and improve data infrastructure and processes.
  • Learn from industry experts and gain insights into the data science landscape of the energy sector.

Benefits:

  • Competitive hourly wage (details available upon application).
  • Opportunity to gain practical experience in a leading energy company.
  • Develop essential data science skills and knowledge relevant to the industry.
  • Network with experienced professionals and build your resume.
  • PG&E may offer additional benefits such as tuition reimbursement or participation in professional development programs (details vary based on location and employment status).

Location:

San Francisco, California

Apply Now

Related Articles

Back to top button