AI & Data Science Intern: ML, Generative AI & Analytics

Ericsson

Plano (AL)

On-site

USD 28,000 - 39,000

Full time

8 days ago
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Job summary

Ericsson Inc. is seeking an AI & Data Science Intern to support data science, analytics, automation, and AI initiatives in Plano, TX.

This 12-week program offers hands-on experience with ML, Generative AI, data visualization, and automation while collaborating with data, engineering, and business teams. You will gain exposure to data collection, modeling, visualization, and AI-driven tooling, with opportunities to contribute to real-world projects and learn best practices in responsible AI and

Qualifications

  • Currently pursuing a Bachelor's or Master's degree in data-related fields.
  • Strong interest in data science, analytics, and AI technologies.
  • Familiarity with statistics and predictive modeling concepts.
  • Proficiency with Python data libraries (Pandas, NumPy, Scikit-learn).

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 and evaluation of ML and predictive analytics models.
  • Build and improve data visualizations, dashboards, and reporting solutions.
  • Explore Generative AI, LLMs, and AI-driven tools to solve business challenges.
  • Help translate business problems into data-driven AI-enabled solutions.
  • Contribute to proof-of-concept projects and collaborate with cross-functional teams.
  • Document findings and present results to technical and non-technical audiences.

Skills

Python
Pandas
NumPy
Scikit-learn
LLMs
AI concepts
Power BI
SQL
Excel
Data visualization
APIs

Education

Bachelor's or Master's in Data Science
Computer Science or related field

Tools

Power BI
Tableau

Job description

Ericsson Inc. is seeking an AI & Data Science Intern to support data science, analytics, automation, and AI initiatives in Plano, TX.

This 12-week program offers hands-on experience with ML, Generative AI, data visualization, and automation while collaborating with data, engineering, and business teams. You will gain exposure to data collection, modeling, visualization, and AI-driven tooling, with opportunities to contribute to real-world projects and learn best practices in responsible AI and

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