About The Position

Noblis is seeking a summer 2027 intern to support its Learning Management and Support Services (LMSS) contract with an Intelligence Community client. The intern will join the Course Assessments and Data Analytics and Visualization teams, helping identify, develop, and implement data science strategies across teams, applications, and data types. The work will support strategic objectives and align innovation efforts with the client’s mission. The internship provides experience in client consultation, translating data requests into actionable insights, and supporting the dashboard lifecycle from intake through delivery. The intern will contribute to an impactful project used by the workforce and receive mentorship from learning and development professionals. The role also offers opportunities to develop leadership, communication, and public speaking skills and connect with Noblis professionals and the 2027 intern cohort.

Requirements

  • U.S. citizenship.
  • TS/SCI clearance and ability to obtain a CI polygraph.
  • GPA of 3.3 or higher.
  • Problem-solving, critical-thinking, and organizational skills.
  • Ability to work independently as a self-starter, with demonstrated customer support and collaboration expertise.
  • Ability to work in a team-based environment.
  • Experience with basic coding and data visualization tools such as Python, R, JavaScript, or Tableau.
  • Experience with databases and management tools such as SQL and Access.

Nice To Haves

  • Pursuing an undergraduate or graduate degree in a STEM field.
  • Experience with large datasets.
  • Familiarity with training and experience leveraging AI models, including large language models, agent-based systems, and retrieval augmented generation (RAG).
  • Familiarity with Agile development workflows.
  • People skills suited to emotional intelligence and the human-centered design process, with an emphasis on customer experience.
  • Consulting experience.
  • Briefing or public speaking skills.

Responsibilities

  • Learn how cross-functional teams depend on one another and implement data strategies using data science skills.
  • Use data software tools to design, implement, and evaluate end-of-course and learning transfer assessments.
  • Support workforce training and education data projects by identifying user needs, collecting data, and conducting data analysis and interpretation to provide customer insights.
  • Report insights and help clients make decisions and identify opportunities for improvement.

Benefits

  • Health, life, disability, financial, and retirement benefits.
  • Paid leave.
  • Professional development.
  • Tuition assistance.
  • Work-life programs.
  • Award programs recognizing exceptional performance and demonstration of service standards.
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