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Tech Stack
Tools & technologiesAzureDockerPythonSQL
About the role
Key responsibilities & impact- Join ICF as a Data Scientist Intern for a 10-week Summer 2027 internship
- Support energy efficiency and load management programs for utilities
- Maintain and enhance predictive analytics models
- Apply statistical and computational methodologies
- Integrate analyses into supporting IT systems to achieve business objectives
- Analyze large datasets covering customer behavior, energy usage, and marketing performance
- Identify appropriate analytical techniques
- Develop and execute code
- Validate analytical outputs
- Produce technical reports
- Collaborate with technologists, business stakeholders, and non-technical client stakeholders
Requirements
What you’ll need- Completed bachelor’s degree plus enrollment verification or 9 credit hours completed in a Master’s degree program within data science or a similar discipline
- Must be able to pass required background checks, which may include drug screening
- All work must be performed in the U.S. per contract requirements
- Preferred: completed Master’s degree program within data science or a similar discipline
- Preferred: enrollment verification or 9 credit hours completed in a Doctoral degree program within data science or a similar discipline
- Preferred: proficiency in R and/or Python, statistical modeling, data manipulation, and visualization
- Preferred: familiarity with Git, including branching strategies, pull requests, and repository management
- Preferred: working knowledge of SQL for querying relational databases
- Preferred: strong understanding of predictive modeling techniques and machine learning algorithms
- Preferred: familiarity with Docker for building and deploying containerized machine learning environments and applications
- Preferred: experience with Microsoft Azure services, including Azure Databricks, Azure Batch, and Azure Blob/Table Storage
- Preferred: familiarity with energy efficiency, utilities, or environmental analytics
- Preferred: experience working with large-scale datasets and building scalable data solutions
- Strong communication and collaboration skills
- Ability to work independently and manage multiple priorities
- Curiosity and passion for solving complex problems with data
- Ability to exercise independent judgment
- Strong organizational skills and ability to prioritize and execute tasks under pressure
- Ability to work effectively in a diverse team and explain technical concepts to non-technical client stakeholders
- Initiative in learning complex systems and codebases while seeking clarification and guidance
Benefits
Comp & perks- Remote work from any U.S. location
- Hybrid work from offices in Reston, VA or Denver, CO
- Equal opportunity employment
- Reasonable accommodations for disabilities, disabled veterans, and sincerely held religious beliefs
- Confidential accommodation support
- Benefit offerings referenced under the Transparency in (Benefits) Coverage Act