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AI & Data Science Intern

Job in Plano, Collin County, Texas, 75086, USA
Listing for: Ericsson GmbH
Apprenticeship/Internship position
Listed on 2026-09-20
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Analyst, Data Scientist
Salary/Wage Range or Industry Benchmark: 20 - 30 USD Hourly USD 20.00 30.00 HOUR
Job Description & How to Apply Below

Grow with us

Ericsson Inc. does not sponsor U.S work authorizations for this job position including U.S. immigration filings for initial and/or change of employer paperwork for H-1's, H-1B1's, E-3's, O-1's, and TN's. Ericsson also does not hire F-1's working on CPT or EAD for this position.

AI & Data Science Intern

Location:

Plano, TX

Duration: 12 weeks

Start Date:

May 25, 2027

About this opportunity:

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.

What you will do:
  • 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.
The skills you bring:
  • 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, Num Py, 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.
Why join 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…

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