Who we are:
Brady makes products that make the world a safer and more productive place. We are a global leader in safety, identification and compliance solutions for a diverse range of workplaces. From the depths of the ocean to outer space, from the factory floor to the delivery room - we're just about everywhere you look. Companies around the world trust Brady because of our deep expertise and knowledge across a wide range of industries and applications - powered by our world-class manufacturing capabilities.

We have a diverse customer base in industries including electronics, telecommunications, manufacturing, electrical, construction, healthcare, aerospace and more. As of July 31, 2023, Brady employed approximately 5,600 people worldwide. Our fiscal 2023 sales were approximately $1.33 billion. Brady stock trades on the New York Stock Exchange under the symbol BRC. You can learn more about us at .

Why work at Brady:
A career at Brady means working for a global company that has thrived for over 100 years, and whose innovative spirit drives our future growth.

Brady offers competitive pay and great benefits, supported by a culture that encourages collaboration and innovation. We strive to foster an inclusive workplace where diverse talent can learn, grow, and succeed. And with deeply rooted values, no matter where you work at Brady, you'll feel connected to the community through our charitable contributions and opportunities to give back.

Our headquarters are in Milwaukee, Wisconsin, but we have more than 70 locations globally, giving our employees the opportunity to work with colleagues around the world.

What we need:
Brady Corporation is seeking a Data Science intern to join our team. In this role, you will have the opportunity to work alongside our talented engineers, contributing to the development of our innovative solutions. You will be matched with a manager and a mentor who will guide you throughout your internship.

What you'll be doing

• Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources.
• Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.
• Monitor and troubleshoot operational or data issues in the data pipelines.
• Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.
• Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems.
• Provide assistance to the team with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem.
• Enhance the AI-driven aspects of our solutions, learning from and contributing to projects that utilize extensive datasets-including text, images, and multimodal data-to solve real business problems.
• Assist in developing cutting-edge machine learning models, particularly focusing on Large Language Models (LLMs), to streamline operations using diverse data sources.
• Participate in ensuring the accuracy and effectiveness of algorithms across varied demographics, involving statistical analysis and error assessment.
• Help build and refine prototypes, gaining insights into transforming them into scalable, efficient code for real-world applications.
• Contribute to the development of adaptable software and data systems, which emphasize modular components for use across various teams and projects.
  
  

What you'll need to be successful:

• Currently enrolled in a bachelor's degree program in computer science, engineering, or a related field.
• Availability to complete a full-time internship for a minimum of 3 months.
• Experience with one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala).
• Experience with one or more scripting languages (e.g., Python, KornShell).
• Experience with data mining and data warehouse solutions.
• Experience with ETL flow and tools.
• Basic knowledge of programming in languages like Python, Java, C/C++, etc.
• Familiarity with core areas of computer science such as Natural Language Processing, Computer Vision, Machine Learning, or Deep Learning.
• Legal authorization to work in the U.S.

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