Finance Data Science & Automation Intern

Ericsson AB; Plano (TX); On-site; USD 28,000 - 36,000; Part time

Job summary

Ericsson is seeking a motivated Finance Data Science & Automation Intern to support the growth of its North American business. You will gain exposure to Finance, Accounting, Commercial, Operations, and transformation teams while addressing complex business challenges through technology, automation, and data science.

As an intern, you will help modernize Finance by applying data science, AI, analytics, and automation to solve business problems.

Qualifications

• Pursuing a bachelor’s or master’s degree in a quantitative field.
• Strong academic record and/or internship/project experience in finance, analytics, data, or business intelligence.
• Proficiency in SQL, Python, Excel, and Power BI.
• Exposure to AI/ML, predictive analytics, automation, or Generative AI is a plus.

Responsibilities

• Build, maintain, and optimize data pipelines using SQL, Python, and automation tools.
• Apply AI, machine learning, and advanced analytics to generate predictive insights and automate reporting.
• Develop Power BI dashboards and self-service analytics to drive finance insights.
• Support PEC quality checks, reconciliations, and financial performance analysis.
• Prepare executive-ready insights and partner with cross-functional teams.

Skills

Analytical mindset

Strong communication

Stakeholder management

Problem-solving

Attention to accuracy

Education

Finance

Accounting

Business Analytics

Data Science

Computer Science

Engineering

Statistics

Mathematics

Tools

SQL

Python

Excel

Power BI

Azure/Databricks exposure

Job description

Ericsson is seeking a motivated Finance Data Science & Automation Intern to support the growth of its North American business. You will gain exposure to Finance, Accounting, Commercial, Operations, and transformation teams while addressing complex business challenges through technology, automation, and data science.

As an intern, you will help modernize Finance by applying data science, AI, analytics, and automation to solve business problems.