AI & Data Science Intern: Build Models & Insights

Ericsson GmbH; Plano (TX); On-site; USD 27,552,000 - 41,328,000; Full time

Job summary

Ericsson is seeking an AI & Data Science Intern in Plano, TX for a 12-week program beginning May 25, 2027. You will support data science, analytics, automation, and AI initiatives, working with data to uncover insights, build models, and explore AI-driven solutions that improve business decisions.

You will gain hands-on experience with machine learning, Generative AI, data visualization, and automation while collaborating with data, engineering, and business professionals.

Qualifications

• Pursuing a Bachelor's or Master's degree in Data Science, Computer Science, AI, or related field.

Responsibilities

• Assist with collecting, cleaning, and preparing data for analysis and AI/ML projects.
• Analyze structured and unstructured data to identify patterns and insights.
• Support development, testing, and evaluation of ML and predictive analytics models.
• Build and improve data visualizations, dashboards, and reporting solutions.
• Explore Generative AI and LLMs to solve business challenges.
• Contribute to automation solutions that improve efficiency and reduce manual work.
• Translate business problems into data-driven and AI-enabled solutions.
• Participate in proof-of-concept projects involving AI and analytics.
• Collaborate with cross-functional teams to support data science initiatives.
• Document findings and communicate results to technical and non-technical audiences.

Skills

Python

SQL

Machine Learning

Pandas

Gen AI

Education

Bachelor's or Master's in Data Science/CS/AI

Tools

NumPy

Scikit-learn

Power BI

Azure

Job description

Ericsson is seeking an AI & Data Science Intern in Plano, TX for a 12-week program beginning May 25, 2027. You will support data science, analytics, automation, and AI initiatives, working with data to uncover insights, build models, and explore AI-driven solutions that improve business decisions.

You will gain hands-on experience with machine learning, Generative AI, data visualization, and automation while collaborating with data, engineering, and business professionals.