AI & Data Science Intern at Ericsson in Plano,Texas,United States
- Company: Ericsson
- Location: Plano,Texas,United States
- Posted: Sep 17, 2026
- Type: Internship
Overview
We are looking for an AI & Data Science Intern to support data science, analytics, automation, and artificial intelligence initiatives. In this role, you will work with data to uncover insights, develop analytical models, and explore AI-driven solutions that help improve business processes and decis…
Job description
- We are looking for an AI & Data Science Intern to support data science, analytics, automation, and artificial intelligence initiatives. In this role, you will work with data to uncover insights, develop analytical models, and explore AI-driven solutions that help improve business processes and decision-making. You will gain hands-on experience with machine learning, Generative AI, data visualization, and automation technologies while collaborating with experienced data, engineering, and business professionals.
Responsibilities
- • Assist with collecting, cleaning, and preparing data for analysis, reporting, and AI/ML projects.
- • Analyze structured and unstructured data to identify patterns, trends, and actionable insights.
- • Support the development, testing, and evaluation of machine learning and predictive analytics models.
- • Assist in building and improving data visualizations, dashboards, and reporting solutions.
- • Explore and apply Generative AI, Large Language Models (LLMs), and AI-driven tools to solve business challenges.
- • Support the development of automation solutions that improve efficiency and reduce manual effort.
- • Help translate business problems into data-driven and AI-enabled solutions.
- • Participate in proof-of-concept projects involving AI, machine learning, and advanced analytics.
- • Collaborate with cross-functional teams to support data science, analytics, and innovation initiatives.
- • Document findings, methodologies, and recommendations, and communicate results to technical and non-technical audiences.
- • Learn and apply best practices in data science, machine learning, responsible AI, and data governance.
Requirements
- • Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, or a related field.
- • Strong interest in data science, machine learning, analytics, and AI technologies.
- • Basic knowledge of statistics, data analysis, and predictive modeling concepts.
- • Familiarity with Python and common data science libraries such as Pandas, NumPy, Scikit-learn, or similar tools.
- • Understanding of machine learning fundamentals and AI concepts through coursework, projects, or internships.
- • Familiarity with Generative AI, Large Language Models (LLMs), prompt engineering, or AI agents is a plus.
- • Exposure to Microsoft Copilot, Azure AI, OpenAI technologies, or similar AI platforms.
- • Basic knowledge of SQL and relational databases.
- • Experience with Power BI, Tableau, or similar data visualization tools through coursework, projects, or internships.
- • Understanding of APIs and data integration concepts is a plus.
- • Proficiency with Microsoft Excel and data analysis techniques.
- • Exposure to programming languages such as C#, .NET, Java, or PHP is a plus.
- • Understanding of data privacy, security, and responsible AI principles.
- • Strong analytical, problem-solving, and critical-thinking skills.
- • Effective communication skills and the ability to present insights clearly.
- • Eagerness to learn, experiment, and contribute in a collaborative team environment.
Skills
Required
- Python
- Pandas
- NumPy
- Scikit-learn
- SQL
- Power BI
- Tableau
- Microsoft Excel
- statistics
- data analysis
- predictive modeling
- machine learning fundamentals
Preferred
- Generative AI
- Large Language Models (LLMs)
- prompt engineering
- AI agents
- Microsoft Copilot
- Azure AI
- OpenAI technologies
- APIs
About Ericsson
At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.