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💼 Job

Consultant - Energy Sustainability & Infrastructure, Analytics - Campus 2024

Logo of Guidehouse


17d ago

💼 Graduate Job

San Francisco +4

🤑 $71.8K - $107.6K

AI generated summary

  • The ideal candidate for the Consultant - Energy Sustainability & Infrastructure position at Guidehouse should have a bachelor's or master's degree in data science, statistics, applied math, computer science, operations research, economics, environmental engineering, computational physics, or a related field. They should be passionate about clean energy transition and possess knowledge of analytical models and methods, with experience in analyzing large and complex datasets. Proficiency in programming languages such as Python or R, as well as strong teamwork, communication, and problem-solving skills, are also required.
  • As a Consultant - Energy Sustainability & Infrastructure at Guidehouse, the candidate will analyze complex data sets, develop models using statistical analysis and machine learning, program in Python and R, conduct research on energy-related activities, interpret findings for non-technical audiences, contribute to report development and client requests, and work independently or in a team as required.

Graduate Job

DataSan Francisco, Denver, Boston, New York, Boulder


  • Our team helps utilities and energy companies, federal/state/local governments, and commercial entities as the industry rapidly transitions to one that is more decentralized, requires cleaner fuel supply, increased reliability, and improved resilience. We use analytics to advise our clients on decarbonization strategies, forecast the adoption of distributed energy resources, understand the impact of customer energy programs (including energy efficiency, building and transportation electrification, load management), and more.
  • As a member of the Analytics team supporting Guidehouse’s Energy, Sustainability & Infrastructure segment, you will have an opportunity to perform a range of analytics-related activities supporting model development and client projects. You will work with varied and complex data sets, complete analysis tasks using appropriate methodologies, and effectively communicate technical findings.
  • We are looking for someone with a passion for creative problem solving, critical thinking, and attention to detail. In this role, you will learn, be challenged, and develop skills at a fast pace. In addition to hands-on experience, formal training programs will teach you the diverse skills you need to succeed


  • Minimum Years of Experience: 0 years
  • Minimum Degree Pursued: Bachelor’s or Masters Degree (Must still be enrolled in an accredited degree program in summer of 2023 and graduate by June of 2024)
  • Applicants must be currently authorized to work in the country
  • No sponsorship is available for this position
  • What Would Be Nice To Have:
  • Academic Backgrounds Preferred: Data Science, Statistics, Applied Math, Computer Science/Computer Information Systems, Operations Research, Economics, Environmental Engineering/Science, Computational Physics or other analytics degree
  • Passion for clean energy transition including energy efficiency and conservation, transportation and building electrification, solar/storage, decarbonization, resilience
  • Knowledge of analytical models, methods, applications and tools, such as statistical analysis, regression modeling, predictive modeling, simulation, machine learning and selecting and applying the right analytical techniques
  • Analyzing large and complex data sets, with strong aptitude for conducting quantitative analysis
  • Proficiency in one or several programming languages, such as Python or R
  • Proficiency with spreadsheets, word processing, and slide presentation software
  • Experience working in teams to produce high-impact work products, reports, and other deliverables in a fast-paced environment
  • Possesses strong oral and written communication skills
  • Heightened attention to detail, and the ability to create and edit technical and non-technical written work products and graphical presentations
  • Ability to view problems from multiple angles and apply a variety of solutions to solving them
  • Ability to participate in client-facing discussions and meetings
  • Ability to synthesize information quickly and learn new skills

Education requirements


Area of Responsibilities



  • Analyze large and complex data sets
  • Develop models leveraging statistical analysis, regression modeling, optimization, predictive modeling, simulation, machine learning, economic models
  • Program (Python, R) and use source code version control technologies (Git)
  • Conduct research and analysis on energy-related activities
  • Interpret and communicate the implications of technical findings to non-technical internal and external audiences
  • Contribute to report development, presentations and client requests
  • Ability to manage time and tasks independently
  • Ability to work effectively with teams; work independently as needed


Work type

Full time

Work mode



San Francisco, Denver, Boston, New York, Boulder


71800 - 107600 USD