People Analytics and AI - Intern

• 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.

Location: Plano, Texas

Duration: 12 Weeks

Start Date: May 25th, 2027

About this opportunity:

Join a team at the intersection of data, technology, and human insight. The People Analytics & AI team empowers leaders to make better decisions and shape the employee experience through data-driven storytelling and AI-enabled innovation.

What you will do:

• Design and consult on AI-powered solutions using platforms such as MS Copilot and Studio, Glean Work AI, Azure AI Foundry, or Snowflake CoWork and Cortex to improve how HR teams access insights and make decisions
• Build and prototype intelligent agents and workflows that help automate analytics, simplify data access, and improve user experience
• Continuously learn and experiment with new AI and analytics tools to help define what's next in people analytics
• Extract, transform, and model data from sources such as Dataflows, Power Query, or Snowflake to build the foundation for analytics and AI solutions
• Develop visual stories and dashboards in Power BI that turn complex data into meaningful, actionable insights
• Collaborate across HR and analytics teams, connecting technical possibilities with business value

Join our Team

The skills you bring:

• Actively enrolled full-time in an accredited Bachelor's or Master's program in Management Information Systems, Computer Science, Data Science, Statistics, Business Administration, or a related field (2.7+ GPA).
• Courage: A willingness to try new ideas, ask thoughtful questions, and share a point of view, even when the path is not fully defined.
• Curiosity: A genuine interest in how AI and data can transform how organizations work.
• Grit: Perseverance and passion for achieving goals and solving problems.
• AI Agent & Automation: Exposure to or interest in AI tools that can support multi-step tasks, automate workflows, or improve how people access information (e.g., using Glean Computer Use, Microsoft Copilot Cowork, or similar automation/agent frameworks).
• Coding for Analytics & AI: Foundational skills in Python and SQL for analysis, model prototyping, and efficient data handling.
• Generative AI Application: Hands-on experience with prompt engineering using foundation LLMs (e.g., ChatGPT, Gemini, Claude, etc.) to solve problems.
• Data & Visualization: Proficiency with data preparation tools (e.g., Power Query, Dataflows, Snowflake and/or SQL) and skills in building actionable dashboards, preferably in Power BI.
• Technical Agility: Ability to quickly learn new AI solutions, analytical tools, and technologies

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 joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

What happens once you apply?

If you need assistance or to request an accommodation due to a disability, please contact Ericsson at hr.direct.americas@ericsson.com. : The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.

Primary country and city: United States (US) || Plano (Country/ City)

Job details: HR Delivery Specialist

Compensation and Benefits at Ericsson

At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals.

Your Pay

The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience.