Data Science Intern

Description

• Prepare and maintain documentation related to business processes, data analysis methodologies, and findings
• Design and deploy machine learning algorithms for industrial applications such as predictive maintenance, and process optimization.
• Develop visually appealing and informative data visualizations to effectively communicate insights to stakeholders
• Assist in collecting, analyzing, and interpreting data to identify trends, patterns, and opportunities for process improvement
• Collaborate with cross-functional teams to deploy machine learning solutions to drive for optimum performance and reliability

Requirements

• Currently a student earning a bachelor’s or master’s degree in computer science, data science, statistics or a related discipline.
• Energy industry class, research or work experience is a plus
• Strong mathematical background (linear algebra, calculus, probability, and statistics)
• Excellent verbal and written communication
• Ability to drive a project and work both independently and in a cross-functional team
• Experience with scalable ML (MapReduce, Spark) is a plus
• Experience with version control software, Github/Gitlab
• Proficiency in Python and objected-oriented programming, e.g. JavaScript
• Must be graduating between spring 2026 and summer 2027
• Familiarity with key Python packages for data wrangling, machine learning, and deep learning such as pandas, sklearn, tensorflow, torch, etc.
• Applied Machine Learning experience (regression and classification, supervised, self-supervised, and unsupervised learning)

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance