Data Science and AI Intern - RTP 2027

Quick Facts

• Role: Intern in AI and Data Science development

Description

Contribute to the design, development, and implementation of AI solutions, including integration and performance support. Collect, clean, analyze, and visualize data to support business decisions and real-world applications across enterprise systems. Work with engineering, support, and senior developers to ensure AI models are robust, scalable, and aligned with business needs, including creating predictive models, generating insights, and helping optimize performance.

Responsibilities

• Design, develop, and implement AI solutions
• Support integration and performance of AI systems
• Efficiently collect, clean, analyze, and visualize data
• Create predictive models and generate insights
• Optimize company performance using AI and data solutions

Requirements

• Solid programming proficiency in Python and/or another AI language (Java, C++, or R)
• Foundational knowledge in linear algebra, calculus, probability, and statistics
• Familiarity with core ML concepts: supervised and unsupervised learning, model evaluation, and overfitting
• Experience working with data using libraries like NumPy, pandas, or similar
• Basic understanding of Git and collaborative development workflows
• Ability to clearly articulate technical concepts and collaborate effectively in a team environment

Benefits

Hands-on technical role ideal for someone passionate about AI and eager to grow skills in development and systems-level implementation.

Preferred Technical And Professional Experience

• Exposure to TensorFlow, PyTorch, or JAX
• Prior coursework, personal projects, or research involving AI/ML
• Familiarity with cloud services like AWS, Azure, or Google Cloud for AI workloads
• Understanding of testing, debugging, and code optimization
• Experience with visualization tools like Matplotlib, Seaborn, or Plotly
• Awareness of fairness, bias, and responsible AI development practices