Intern - Data Scientist - Davie, FL

The opportunity

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.

Location: Davie, FL
Length: minimum of 12 weeks (May 18th - August 7th)
Schedule: You must be available to work a 40-hour work week for 14 weeks
Pay: TBD

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.

How you’ll spend your day

- 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

Relocation assistance and housing accommodations are not provided for Teva’s 2026 Intern Program.

Your experience and qualifications

- 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
- Must have portfolio demonstrating relevant experience and projects (preferred projects linked to industrial automation, data analytics, or manufacturing systems)
- 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

Demonstrate one or more of the following:

- 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)
- Understanding of data governance, security, and compliance in industrial settings