Data Science Intern (Spring 2027)

MetOx International is pioneering superconducting technology to strengthen global energy systems. The Data Science Intern supports data-driven decision-making by collecting and analyzing operational data, developing statistical and machine learning models, creating visualizations and reports, and collaborating with engineering and production teams to improve efficiency, quality, and product performance.

What you'll do:

• Assists in gathering, cleaning, and preprocessing data from multiple sources including relational databases, process historians, sensors, and operational systems to ensure data accuracy and completeness
• Assists in conducting exploratory data analysis (EDA) to identify patterns, trends, and relationships within production and operational data
• Assists in troubleshooting data retrieval issues, including network connectivity errors, permission issues, and data access failures from industrial and enterprise data sources
• Supports data ingestion from industrial protocols such as MQTT and OPC-UA, including basic understanding of how these protocols communicate process and sensor data
• Assists in developing and implementing statistical and machine learning models to solve operational challenges such as predictive maintenance, anomaly detection, and process optimization
• Supports the application of AI tools and techniques including generative AI and large language models (LLMs) to accelerate data analysis, automate reporting, and surface insights from complex process datasets
• Collaborates with engineering and production teams to deploy data-driven solutions that improve efficiency and quality
• Creates data visualizations and dashboards to communicate insights and findings to non-technical stakeholders
• Prepares reports summarizing data analysis results, with clear recommendations based on data insights
• Works with cross-functional teams to understand business needs and translate them into data science objectives
• Stays current with industry trends, tools, and best practices in data science, AI, and industrial data systems to enhance personal and team capabilities
• Other duties as assigned

What they're looking for:

• Prior exposure to data science, data engineering, or a related field through coursework, personal projects, or other relevant experience
• Actively enrolled in a bachelor's degree in data science, statistics, computer science, engineering, or a related field at an accredited university
• Basic understanding of networking concepts, including TCP/IP, DNS, HTTP/HTTPS, and general connectivity troubleshooting
• Basic familiarity with relational databases such as PostgreSQL or MySQL, including writing simple queries (SELECT, JOIN, WHERE)
• Awareness of AI concepts and how they can be applied to data science and analytics workflows
• Proficiency or strong working knowledge of programming languages commonly used in data science (Python or R)
• Familiarity with data visualization concepts and data processing libraries (Pandas, NumPy)
• Basic understanding of machine learning techniques and model evaluation methods
• Awareness of AI and generative AI tools and how they can be applied to data science and operational analytics
• Basic knowledge of relational databases (PostgreSQL, MySQL) and the ability to write and interpret SQL queries
• Understanding of industrial data protocols such as MQTT and OPC-UA and how they are used to transmit process and sensor data
• Ability to independently troubleshoot basic data access issues, including network connectivity, database permissions, and protocol configuration