Public Sector Data Science Intern | Analytics & ML

State of North Carolina

North Carolina

On-site

USD 28,000 - 41,000

Full time

7 days ago
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Job summary

The North Carolina Office of the State Auditor is seeking a Data Science Intern to gain hands-on experience on the Data Science Team in Raleigh. You will work on projects applying statistical modeling, machine learning, and data visualization to real-world regulatory and audit objectives.

As a current graduate student in Data Science or related field, you will use SQL, Python and data packages (Pandas, NumPy) to plan analyses, communicate findings, and support data-driven recommendations for

Qualifications

  • Current graduate student pursuing a degree in Data Science, Statistics, Mathematics, or related field with a minimum 3.0 GPA.
  • Experience with SQL, Python, and data-based Python packages (Pandas and NumPy).
  • Experience integrating Large Language Models (LLMs) into data analysis processes preferred but not required.
  • Experience conducting research using data (data-based thesis or as a research assistant) preferred but not required.

Responsibilities

  • Work on projects leveraging statistical modeling, ML and data visualization.
  • Assist in planning and executing analyses addressing regulatory, audit objectives, or initiatives.
  • Prepare internal reports to clearly communicate findings and recommendations.
  • Apply data-driven approaches to solve real-world challenges and support outcomes.

Skills

SQL
Python
Pandas
NumPy
LLMs integration

Education

Graduate student in Data Science or related field

Tools

NLP/ML tooling

Job description

The North Carolina Office of the State Auditor is seeking a Data Science Intern to gain hands-on experience on the Data Science Team in Raleigh. You will work on projects applying statistical modeling, machine learning, and data visualization to real-world regulatory and audit objectives.

As a current graduate student in Data Science or related field, you will use SQL, Python and data packages (Pandas, NumPy) to plan analyses, communicate findings, and support data-driven recommendations for

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