Intern - Data Scientist/Data Engineer - Davie, FL

Role Summary

Intern - Data Scientist/Data Engineer in Davie, FL. 14-week program focused on data-driven solutions to enhance facilities, manufacturing, and instrumentation systems. Involves data pipelines, analytics, IT/OT integration, and digital transformation in industrial environments.

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 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

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

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

Education

• Not specified beyond degree pursuit in Qualifications

Additional Requirements

• This position does not have supervisory responsibilities.
• This is a full-time position on site with the expectation of a standard 40hr work week.
• Prolonged periods working on a computer
• Ability to lift/push/carry items up to 50 pounds
• Frequent exposure to loud/moderate noise