Teva Pharmaceuticals is looking to enhance its facilities, manufacturing, and instrumentation systems through data-driven solutions, and is seeking a Data Scientist/Data Engineer intern to contribute to the design, development, and deployment of these solutions.
Requirements
- Pursuing a MS or Ph.D degree in Data Science, Computer Science, Electrical Engineering, or related field
- 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
- Experience with cloud platforms (e.g., Azure, AWS) and data services
- Familiarity with ETL tools and data pipeline orchestration
Responsibilities
- 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
Other
- Pursuing a MS or Ph.D degree with graduation expected within 1 year of internship duration
- Must have portfolio demonstrating relevant experience and projects
- Excellent problem solving skills with the ability to solve complex data challenges
- Self-starter with excellent teamwork and communication skills
- Ability to lift/push/carry items up to 50 pounds
