2026 Summer Intern, Data Scientist at ICF

, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

28.0

Posted On

08 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Predictive Analytics, Statistical Modeling, Data Manipulation, Data Visualization, R, Python, SQL, Machine Learning, Docker, Microsoft Azure, Energy Efficiency, Utilities, Environmental Analytics, Large-Scale Datasets, Collaboration, Communication

Industry

Business Consulting and Services

Description

Description We’re currently hiring a Data Scientist Intern to join our team remotely in Summer 2026. This is an entry-level, 10-week, full-time internship expected to begin in June and end in August. Work may be done remotely from any U.S. location. Pay is expected to be $23 per hour for undergraduate level interns and $28 per hour for graduate level interns. At this time, we are unable to provide housing nor relocation assistance for this position. Ready to Make a Difference? We are seeking a skilled and motivated Data Scientist intern to join our team supporting energy efficiency and load management programs for utilities. This role will focus on maintaining and enhancing predictive analytics models. The ideal candidate will apply advanced statistical and computational methodologies and integrate these analyses into supporting IT systems to help achieve business objectives. Responsibilities include analyzing large datasets—spanning customer behavior, energy usage, and marketing performance to identify appropriate statistical techniques, develop and execute code, validate outputs, and produce technical reports. Basic Qualifications: By start date, a minimum of 30 completed college-level credit hours is required in Math, Engineering, Science, IT or related discipline Must be able to pass any required background check(s), which may include drug screening All work must be performed in the U.S. per contract requirements Preferred Qualifications: A completed bachelor’s degree plus enrollment verification in a Master’s degree program within data science or similar discipline Proficiency in R and/or Python or statistical modeling, data manipulation, and visualization Familiarity with version control systems such as Git and TortoiseSVN, including branching strategies, pull requests, and repository management Working knowledge of SQL for querying relational databases Strong understanding of predictive modeling techniques and machine learning algorithms Familiarity with Docker for building and deploying containerized machine learning environments and applications Experience with Microsoft Azure services (e.g. Azure Databricks, Azure Batch, Azure Blob/Table Storage) Familiarity with energy efficiency, utilities, or environmental analytics a plus Experience working with large-scale datasets and building scalable data solutions Professional skills you will use: Strong communication and collaboration skills Ability to work independently and manage multiple priorities Curiosity and a passion for solving complex problems with data Able to exercise independent judgment Strong organizational skills with ability to effectively prioritize and execute tasks while under pressure Ability to effectively work in a diverse team of technologists and business stakeholders and explain technical concepts/solutions to non-technical client stakeholders Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process. However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed. Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $34,392.00 - $70,744.00 Nationwide Remote Office (US99)

Responsibilities

The intern will focus on maintaining and enhancing predictive analytics models while analyzing large datasets related to customer behavior, energy usage, and marketing performance. Responsibilities include developing and executing code, validating outputs, and producing technical reports.