Summer 2027 - Data Innovations Intern

Noblis•Reston, VA
•Onsite

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 work with the Special Projects and Innovations team to identify, develop, and implement data science, machine learning, and artificial (super) intelligence strategies across teams, applications, and data types. The work supports the adult learning life cycle and offers exposure to expertise focused on transforming tradecraft and mission effectiveness. The intern will lead project(s) that integrate process improvements across a large-scale learning enterprise. The internship can be customized to the candidate’s skills and may draw on expertise in data science or engineering, computer science, software development or engineering, AI/ML engineering, project or business analysis, and other technical areas. The position requires working three days a week in Reston, Virginia, and one day a week in Springfield, Virginia. Remote or hybrid status may change based on Noblis or government requirements.

Requirements

  • U.S. citizenship.
  • GPA of 3.3 or higher.
  • Pursuing an undergraduate or graduate degree.
  • Strong problem-solving, critical-thinking, and organizational skills.
  • Ability to be a self-starter with demonstrated customer support and collaboration expertise.
  • Ability to work in a team-based environment.
  • Ability to improvise and adapt open-source software solutions in a network-restricted secure environment.
  • Experience with coding and data visualization techniques and languages such as Python, R, JavaScript, and Tableau.
  • Experience with databases and management tools such as SQL, Access, PowerBI, and Elastic Stack.

Nice To Haves

  • TS/SCI clearance or interest in obtaining a clearance.
  • Experience with advanced machine-learning or data-science techniques using PyTorch, TensorFlow, or scikit-learn.
  • Familiarity with training and fine-tuning AI models, including large language models, agent-based systems, and retrieval-augmented generation (RAG).
  • Familiarity with Agile development workflows.
  • Familiarity with Git for version control.
  • Experience or confidence with public speaking.
  • Familiarity with human-centered design.
  • Familiarity with adult learning methodologies such as ADDIE, Kirkpatrick, or LTEM.

Responsibilities

  • Learn the interdependence of cross-functional teams and implement data strategy using data science skills.
  • Use data software tools to design, implement, and evaluate organizational improvements.
  • Report insights and help clients make decisions and identify improvement opportunities.
  • Integrate legacy tools with advanced AI capabilities.
  • Translate client needs into technical requirements while navigating technical and network restrictions.
  • Support innovation-related projects by identifying user needs, collecting data, and performing analysis, interpretation, and visualization of time-series process data.
  • Lead project(s) that integrate process improvements across a large-scale learning enterprise.

Benefits

  • Health, life, and disability benefits.
  • 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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