Support data collection, cleaning, analysis, visualization, machine learning, predictive modeling, Generative AI, automation, and proof-of-concept initiatives. The intern will collaborate with technical and business teams, translate business challenges into data-driven solutions, document methodologies, communicate findings, and apply responsible AI and data governance practices.
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, 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.
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?
Click Here to find all you need to know about what our typical hiring process looks like.
Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.
If you need assistance or to request an accommodation due to a disability, please contact Ericsson at [email protected].
DISCLAIMER: 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: Operations Support
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.
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, 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.
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?
Click Here to find all you need to know about what our typical hiring process looks like.
Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more.
If you need assistance or to request an accommodation due to a disability, please contact Ericsson at [email protected].
DISCLAIMER: 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: Operations Support
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.
Ericsson Austin, Texas, USA Office
Ericsson Austin ASIC Design Center Office
Downtown energy with walkable eateries, coffee spots, live music, and lakefront paths; easy cross‑town access and an active, outdoors‑friendly lifestyle.
Similar Jobs at Ericsson
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Supports multi-site RAN deployment operations by maintaining project schedules, trackers, reports, documentation, and action items. Coordinates updates among engineering, construction, field crews, vendors, and subcontractors; assists with logistics, risk identification, process improvements, meetings, and project record verification. The intern also develops spreadsheets, dashboards, and tools to improve project visibility while learning telecommunications, network deployment, construction workflows, and operational practices.
Top Skills:
DashboardsDatabasesNetwork OptimizationPythonRan ArchitectureRfScriptingSpreadsheetsTelecommunications
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Manage U.S. and international import/export compliance, including customs guidance, HTS and ECCN classification, trade audits, broker oversight, FTA analysis, and risk controls. Partner with suppliers, logistics providers, and cross-functional teams to resolve shipment issues, maintain records, support CTPAT and customs requirements, improve processes, deliver training, and provide leadership reporting. The role requires strong knowledge of U.S. customs regulations, global trade controls, and compliance systems.
Top Skills:
CtpatEccnErpHtsImporter Security FilingExcelMS OfficePower AutomatePower BISAPSap GtsUsmca
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Lead and scale EWS analyst relations: develop engagement strategy, coordinate briefings and industry evaluations (Gartner, Forrester, IDC), translate analyst insights into actionable recommendations, enable stakeholders, support launches/events, maintain program operations, and manage vendor/budget activities.
Top Skills:
ArchitectCo-PilotCradlepointMicrosoft TeamsPrivate 5GWireless Wan
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
