Length: minimum of 12 weeks (TBD during mid-May through mid-August)
Schedule: You must be available to work a 40-hour work week for 14 weeks
As a member of our Modernization team, you’ll be contributing to the design, development, and deployment of data-driven solutions that enhance our facilities, manufacturing, and instrumentation systems
This includes working with data pipelines, analytics, and integration of IT/OT systems using Power Platform and historian data sources
From data ingestion to visualization and automation, application development, you’ll have the opportunity to work on many aspects of digital transformation in industrial environments
Participate in the development and testing of data pipelines and analytics solutions, including creation of technical documentation and dashboards
Assist in the design, development, and deployment of data engineering workflows using tools such as Power BI, Power Automate, and Power Apps
Work with large-scale data from historian systems and IT/OT infrastructure to extract insights and support decision-making
Collaborate on the integration of sensor data, control systems, and enterprise IT systems
Support the development of data models and machine learning prototypes for predictive maintenance and process optimization
Effectively work with cross-functional teams including data scientists, automation engineers, and IT professionals
Understanding of data governance, security, and compliance in industrial settings
Требования
Pursuing a MS or Ph.D degree in Data Science, Computer Science, Electrical Engineering, or related field with graduation expected within 1 year of internship duration
Strong understanding of data engineering, data analysis, and machine learning concepts
Experience with Power Platform tools (Power BI, Power Automate, Power Apps)
Familiarity with historian systems (e.g., OSIsoft PI, Wonderware) and IT/OT integration
Proficiency in Python, SQL, and data visualization tools
Excellent problem solving skills with the ability to solve complex data challenges
Self-starter with excellent teamwork and communication skills
Experience with cloud platforms (e.g., Azure, AWS) and data services
Familiarity with ETL tools and data pipeline orchestration
Knowledge of industrial communication protocols (e.g., OPC UA, Modbus)
Prolonged periods working on a computer
Ability to lift/push/carry items up to 50 pounds
Frequent exposure to loud/moderate noise
Schedule: You must be available to work a 40-hour work week for 14 weeks
Understanding of data governance, security, and compliance in industrial settings
Условия
Embark on a future with an international pharmaceuticals company, contributing your creative energy to high-impact projects from the moment you arrive through the course of this 14-week experience
You will take part in meaningful work and real-life projects that will help you grow both professionally and personally throughout the program
This is a full-time position on site with the expectation of a standard 40hr work week
