Data Science Intern — AI, ML & Responsible AI in Legal Tech

LexisNexis Legal & Professional

Raleigh (NC)

On-site

USD 30,000 - 47,000

Full time

13 days ago
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Job summary

LexisNexis Legal & Professional seeks a data science intern to apply machine learning, generative AI, and data-driven insights to real-world legal content, helping professionals make better decisions using trusted information.

You will learn from experienced data scientists and engineers while contributing to AI-enabled solutions, with hands-on work in data prep, model evaluation, responsible AI, and downstream analytics. Location is on-site in Raleigh, NC for 11–12 weeks starting June 7, 2027.

Qualifications

  • Be a currently enrolled student pursuing a related degree.
  • Experience with Python, R, and SQL.
  • Foundation in statistics and ML.
  • Familiar with data visualization and analytics.
  • Curious about AI and generative AI.
  • Strong problem-solving and communication skills.
  • Detail-oriented and able to work independently or with a team.
  • Keen to learn and stay updated on AI trends.

Responsibilities

  • Contribute to data collection, cleaning, and documentation for analysis.
  • Collaborate with data science, engineering, product, and UX teams to develop and test models.
  • Conduct exploratory data analysis to identify trends and data-quality issues.
  • Support experiments involving generative AI and large language models.
  • Create visualizations, reports, dashboards, or notebooks communicating insights.
  • Document assumptions, limitations and evaluation methods for reproducibility.

Skills

Python
R
SQL
Statistics
Machine Learning
Data Visualization
Analytical Thinking
Communication

Education

Currently enrolled student in a related field

Tools

Notebooks
Pandas
NumPy
scikit-learn

Job description

LexisNexis Legal & Professional seeks a data science intern to apply machine learning, generative AI, and data-driven insights to real-world legal content, helping professionals make better decisions using trusted information.

You will learn from experienced data scientists and engineers while contributing to AI-enabled solutions, with hands-on work in data prep, model evaluation, responsible AI, and downstream analytics. Location is on-site in Raleigh, NC for 11–12 weeks starting June 7, 2027.

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