Intern – Energy Sustainability & Infrastructure, Analytics – Campus 2025
GH Office: Arlington, VA
Applications have closed
Guidehouse
Guidehouse is the only scaled advisory consultancy in the world to fully integrate commercial and public or government businesses within each of our industry segments because complex problems require both perspectives to address and outwit.Job Family:
Intern
Travel Required:
Clearance Required:
What You Will Do:
The Guidehouse Internship Program staffs interns on real-world projects, showcases the Guidehouse culture, and provides interns with a meaningful consulting experience. Interns work with teams and provide real-time deliverables in support of Guidehouse clients. Each intern is paired with a Buddy to serve as a resource that can assist them in navigating their Guidehouse experience.
Highlights of the Guidehouse Internship Program include:
- 10-week experience in the Summer of 2025 (Anticipated to start Monday, June 2nd and run until Friday, August 8th)
- Learning & Development Sessions (both E-learning & Instructor-Led)
- Performance management, including developing goals and holding Mid-Point and Final Evaluations
- Networking & Social Activities and Events
- Corporate Social Responsibility (CSR) Intern Event
- Intern Speaker Series
- Collaborative Group Projects
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 Guidehouse intern, you will have an opportunity to perform a range of analytics-related activities supporting model development and client projects. Key responsibilities may include:
- 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
- Ability to work effectively with teams; work independently as needed
What You Will Need:
- Minimum Years of Experience: 0 years
- Minimum Degree Pursued: Bachelor's Degree (Must still be enrolled in an accredited degree program in summer of 2025 and graduate by Summer of 2026)
- 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
- 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
- Passion for clean energy transition including energy efficiency and conservation, transportation and building electrification, solar/storage, decarbonization, resilience
- 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
- Proficiency with spreadsheets, word processing, and slide presentation software
- 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
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
About Guidehouse
Guidehouse is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Tags: Computer Science Consulting Economics Engineering Git Machine Learning Mathematics ML models Physics Predictive modeling Python R Research Security Statistics
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