Data Science and AI Intern

IBM

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Raleigh, NC
Employment: Intern
Posted: 17 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $178k

$114k most similar roles pay here $242k

This listing doesn't post a salary. Most similar roles pay $126,787–$229,400.

Based on 240 similar postings.

Employer

About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 506 open roles on FindRole.

Listed pay typically runs $174,632–$197,165 across 5 roles with salary data.

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At a glance

TL;DR · Data Science and AI Intern

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As a Data Science and AI Intern, you will join the AI and Data Science development team to contribute to the design, development, and implementation of AI solutions while ensuring system integration and performance. Your daily responsibilities include collecting, cleaning, analyzing, and visualizing data to support business decisions for real-world applications across enterprise systems. You will collaborate with engineers and senior developers to build robust, scalable predictive models and optimize company performance. The role requires proficiency in Python, Java, C++, or R, along with a foundation in linear algebra, calculus, probability, and statistics. You will utilize libraries like NumPy and pandas, version control via Git, and potentially frameworks such as TensorFlow, PyTorch, or JAX. Work involves solving technical challenges related to cognitive business systems optimized for cloud computing environments.

Skills

Python Machine Learning Deep Learning NumPy pandas Git TensorFlow PyTorch JAX AWS Azure Google Cloud Matplotlib Seaborn Plotly Linear Algebra Statistics Data Visualization

What you'll do

Design, develop, and implement AI solutions for enterprise systems.
Collect, clean, analyze, and visualize data to support business decisions.
Create predictive models to generate insights and optimize company performance.
Ensure AI models are robust, scalable, and aligned with specific business needs.
Support the integration and performance of AI systems within the infrastructure.
Perform hands-on technical development in Python or other relevant programming languages.

What we're looking for

High School Diploma or GED.
Proficiency in Python or other programming languages common in AI, such as Java, C++, or R.
Foundational knowledge in linear algebra, calculus, probability, and statistics.
Familiarity with core machine learning concepts including supervised/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 communicate technical concepts clearly and collaborate effectively in a team environment.
Exposure to deep learning frameworks (TensorFlow, PyTorch, JAX), AI projects, cloud platforms, software engineering practices, visualization tools, and AI ethics (preferred).

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