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Internship Predictive Maintenance Jobs in Chicago, IL

Enova International

Analytics Analyst - Fraud

Chicago, IL · On-site

$63K - $83K/yr

Write customized programs in Python for meaningful data analysis and predictive modeling, and query ... Solid programming skills for data analysis - demonstrated through work, internships, coursework, or ...

All JobsPredictive Maintenance JobsInternship Predictive Maintenance JobsInternship Predictive Maintenance Jobs in Chicago, IL

Internship Predictive Maintenance information

What is an internship in predictive maintenance?

An Internship in Predictive Maintenance is a temporary position designed for students or recent graduates to gain practical experience in using data analysis, machine learning, and sensor technologies to predict equipment failures and optimize maintenance schedules in industrial settings. Interns typically assist in collecting and analyzing machine data, building predictive models, and implementing monitoring systems. This hands-on experience helps them develop technical skills relevant to the maintenance and reliability engineering fields, preparing them for future roles in industrial automation, data science, or engineering.

What are the key skills and qualifications needed to thrive as an internship in predictive maintenance?

To thrive in a Predictive Maintenance Internship, you need a background in engineering or data science, understanding of maintenance principles, and analytical problem-solving skills. Familiarity with predictive analytics tools, condition monitoring systems, and programming languages like Python or MATLAB is typically required. Strong communication, teamwork, and adaptability help interns collaborate effectively and learn quickly in dynamic industrial environments. These skills enable accurate equipment diagnostics, effective data-driven maintenance, and contribute to operational efficiency.

What is the difference between Internship Predictive Maintenance vs Predictive Maintenance Technician?

AspectInternship Predictive MaintenancePredictive Maintenance Technician
CredentialsEnrolled in or recent graduate of relevant technical or engineering programTechnical diploma or associate degree, certifications preferred
Work EnvironmentTraining setting, supervised tasks, entry-levelOn-site maintenance, hands-on equipment diagnostics
Industry UsageInternship programs in manufacturing, energy, or industrial sectorsIndustrial plants, manufacturing facilities, equipment maintenance

Internship Predictive Maintenance roles are entry-level positions designed for students or recent graduates gaining experience in predictive maintenance techniques. Predictive Maintenance Technicians are experienced professionals responsible for diagnosing and repairing equipment using predictive tools. While internships focus on learning and training, technicians perform hands-on maintenance tasks to prevent equipment failures.

What types of projects and daily tasks can I expect during an internship in predictive maintenance?

As an intern in predictive maintenance, you can expect to work closely with engineering and data analytics teams to collect, clean, and analyze equipment data. Your daily tasks may include monitoring sensor outputs, developing or refining predictive models, and supporting the implementation of machine learning algorithms to forecast equipment failures. You might also participate in cross-functional meetings to discuss findings and recommend maintenance strategies. This hands-on experience will give you exposure to both data science techniques and practical engineering solutions, helping you build valuable skills for a career in industrial analytics.
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Internship Predictive Maintenance jobs near you

Quantitative Developer Internship - 2027

Dime Line Trading

Chicago, IL

Internship

Posted 18 days ago

Job description

This is a 10 week internship available all seasons of the year.
What you'll do:
  • Contribute to the research, design, and implementation of predictive statistical and machine learning models across prediction markets and exchange venues
  • Prototype and backtest models, monitor performance, and assist with optimizations.
  • Contribute to key feature development for model efficiency
  • Develop and maintain Python codebases in a Linux environment.
  • Help to design and implement new pricing models and frameworks
  • Support data pipeline and SQL database interactions for real-time models.
  • Assist in improving trading systems and operational tools.
  • Gain exposure to multiple sports, quantitative disciplines, and production engineering.
  • Other duties as assigned.

Skills you'll need:
  • Proficiency in Python (experience in R or other languages a plus).
  • Strong interest in statistical modeling, machine learning, or predictive analytics.
  • Familiarity with Linux and SQL databases.
  • Ability to work in a fast-paced environment and manage multiple tasks.
  • Interest in sports and sports analytics / sabermetrics.
  • Strong problem-solving and communication skills.
  • Predictable and reliable availability

It's great to see:
  • Coursework in statistics, optimization, computer science, or related fields.
  • Prior internship or project experience in trading, quantitative research, or software engineering.
  • Exposure to object-oriented development, real-time systems, or algorithmic trading models.
  • Experience with sports gambling, fantasy sports, or predictive analytics applied to sports.