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ICF
ICF
5,001 – 10,000 Employees
ConsultingGovernmentHealthcare
ICF is a global consulting firm that helps governments, businesses, and communities address complex challenges through data, technology, and program expertise. Founded in 1969, the company works across consulting, government, and healthcare, supporting digital modernization, analytics, resilience and adaptation, energy planning, federal health programs, disaster management, infrastructure, and transportation. Its teams combine advisory services with program implementation to help clients achieve measurable results and strengthen community resilience.
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Summer Data Scientist Intern at ICF (Hybrid)

Join ICF’s utility energy-efficiency and load-management programs as a Data Scientist Intern. Maintain predictive models and analyze large customer, energy-use, and marketing datasets.

USUnited StatesCOColoradoVAVirginia
$45,805 – $94,221 / year
HybridPart-timeEntry levelEnglish RequiredData Scientist
AzureDockerPythonSQL

Description

  • Support utility energy-efficiency and load-management initiatives
  • Maintain and improve predictive analytics models
  • Use advanced statistical and computational methods
  • Integrate analytical work with supporting IT systems to advance business objectives
  • Analyze large datasets covering customer behavior, energy use, and marketing performance
  • Select suitable analytical methods for each problem
  • Write and run analytical code
  • Verify the accuracy of analytical results
  • Prepare technical reports
  • Collaborate with technologists and business stakeholders on complex data challenges

Requirements

  • Bachelor’s degree completed, plus enrollment verification or at least 9 completed master’s credits in data science or a related field
  • Ability to pass any required background checks, which may include drug screening
  • Ability to perform all work in the United States as required by the contract
  • Proficiency in R, Python, statistical modeling, data manipulation, or data visualization
  • Familiarity with Git and version control practices, including branching, pull requests, and repository management
  • Working knowledge of SQL for querying relational databases
  • Solid understanding of predictive modeling methods and machine learning algorithms
  • Familiarity with Docker for creating and deploying containerized machine learning environments and applications
  • Experience with Microsoft Azure services such as Azure Databricks, Azure Batch, and Azure Blob/Table Storage
  • Experience handling large-scale datasets and developing scalable data solutions
  • Strong written and verbal communication and collaboration skills
  • Ability to work independently while managing multiple priorities
  • Strong organization and the ability to prioritize and complete tasks under pressure
  • Ability to explain technical concepts and solutions to nontechnical client stakeholders

Benefits

  • Remote work from any location in the United States
  • Hybrid work available from offices in Reston, Virginia, or Denver, Colorado
  • Ten-week summer internship
  • Reasonable accommodations for disability or religious needs
  • Equal opportunity employment

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