Heading

United States

Internship

Remote

Intern

ICF is a global advisory and technology services provider that combines expertise with technology to help clients solve complex challenges. The Data Scientist Intern will support energy efficiency and load management programs for utilities by maintaining and enhancing predictive analytics models, analyzing large datasets, developing and validating code, and producing technical reports.

Apply Now

Responsibilities

Maintaining and enhancing predictive analytics models
Analyzing large datasets—spanning customer behavior, energy usage, and marketing performance to identify appropriate techniques, develop and execute code, validate outputs, and produce technical reports

Qualification

Required

A completed bachelor's degree plus enrollment verification or 9 credit hours complete in a Master's degree program within data science or similar discipline
All work must be performed in the U.S. per contract requirements
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
Takes initiative in learning complex systems and codebases, while actively seeking clarification and guidance to solve problems efficiently

Preferred

A completed Master's degree program within data science or similar discipline
Enrollment verification or 9 credit hours complete in a Doctoral 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, 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