Who we are

Build a brighter future while learning and growing with a Siemens company at the intersection of technology, community and sustainability. Our global team of innovators is always looking to create meaningful solutions to some of the toughest challenges facing our world. Find out how far your passion can take you.

About the Job

We are looking for a motivated college student with a strong interest in data analytics and artificial intelligence to join our team as an intern. This role offers hands-on experience working with real-world data, building analytical solutions, and exploring AI concepts in a business context.

What you will do

• Assist in data preparation and cleaning for analytics projects.
• Support the development of dashboards and reports using business intelligence tools.
• Work with team members to analyze datasets and derive actionable insights.
• Contribute to basic Python scripts for data manipulation and automation.
• Explore and document AI/ML concepts relevant to ongoing projects.
• Collaborate with senior analysts and engineers on data pipeline improvements.

What you need

• Rising senior, graduating in 2027 pursuing a bachelor’s or master’s degree in a technical or quantitative field such as Data Science, Computer Science, Information Technology, Statistics, Mathematics, Business Analytics, Artificial Intelligence, Software Engineering, Management Information Systems, or a related discipline.
• Basic Python programming (data manipulation, simple scripts).
• Understanding of data structures (lists, dictionaries, arrays).
• Familiarity with data analytics concepts (descriptive statistics, visualization).
• Awareness of AI fundamentals (machine learning basics, common use cases).
• Strong analytical thinking and problem-solving skills.

Preferred Qualifications

• Experience with SQL or any database query language.
• Exposure to data visualization tools (Power BI, Qlik, or similar).
• Coursework or projects in AI/ML or data science.

What You Will Gain

• Practical experience in data engineering and analytics workflows.
• Exposure to AI applications in a business environment.
• Mentorship from experienced professionals in data and technology.
• Opportunity to contribute to real projects impacting business decisions.

Qualified Applicants must be legally authorized for employment in the United States. Qualified Applicants will not require employer sponsored work authorization now or in the future for employment in the United States.    

The Brightly culture

We’re guided by a vision of community that serves the ambitions and wellbeing of all people, and our professional communities are no exception. We model that ideal every day by being supportive, collaborative partners to one another, conscientiously making space for our colleagues to grow and thrive. Our passionate team is driven to create a future where smarter infrastructure protects the environments that shape and connect us all. That brighter future starts with us.

Our Commitment to Equity and Inclusion in our Diverse Global Workforce:

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the every day with us.

Brightly maintains a Drug Free workplace in accordance with applicable law.

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