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Internship Predictive Maintenance Jobs in Texas (NOW HIRING)

Huntsman

Mechanical Engineering Intern

Houston, TX · On-site

$18 - $24/hr

Our Summer Internship Program is designed for ambitious students who want hands-on experience in ... Analyze maintenance and reliability data * Assist with preventive and predictive maintenance ...

Siemens

Software Development Engineer

Grand Prairie, TX · On-site

... predictive maintenance, and workflow automation. * Develop software interfaces connecting field ... internships, co-ops, academic projects, or professional experience. * Understanding of object ...

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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 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.

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 are the most commonly searched types of Predictive Maintenance jobs in Texas?

The most popular types of Predictive Maintenance jobs in Texas are:

What are popular job titles related to Internship Predictive Maintenance jobs in Texas?

For Internship Predictive Maintenance jobs in Texas, the most frequently searched job titles are:

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The top searched job categories for Internship Predictive Maintenance jobs in Texas are:

What cities in Texas are hiring for Internship Predictive Maintenance jobs?

Cities in Texas with the most Internship Predictive Maintenance job openings:

Internship Predictive Maintenance jobs near you

Data Scientist, Smart Maintenance, & Equipment Reliability

Patterson-UTI

Houston, TX • On-site

Full-time

Re-posted 7 days ago

Patterson-UTI rating

5.0

Company rating: 5.0 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

83rd of 87 rated oil and gas companies

Job description

As a Data Scientist for the Smart Maintenance initiative, you will support the creation of digital twins and predictive job models to reduce operational uncertainty and strengthen uptime during dynamic operations. You will help modernize maintenance and failure workflows to uncover subtle trends that traditional evaluations may miss, helping the company pursue a meaningful asset-life advantage. By moving data automatically across systems and removing reliance on manual reconciliation, you will help build a foundation for real-time maintenance management and total cost of ownership visibility. Your work will empower field teams with consolidated, purpose-built data that transforms every intervention into a precise, closed-loop maintenance event.

Key Responsibilities:

  • Support the development of predictive models and automated tracking tools to help maintenance teams shift from reactive to proactive workflows.  

  • Assist in the integration of equipment telemetry and various data streams into modeling frameworks to improve lifecycle management.  

  • Help build and test internal AI-driven tools and trend models to streamline technical troubleshooting and root cause analysis.  

  • Contribute to the development of cost-visibility models to track equipment spend and total cost of ownership at different fleet levels.  

  • Assist in the rationalization and optimization of equipment alarm systems to improve alert quality and reduce operational noise.  

  • Monitor the impact of system alerts to help transition toward actionable, condition-based maintenance strategies.  

  • Support data integrity efforts by helping to link information across disparate internal systems and work order platforms.  

  • Collaborate on the design of user-friendly interfaces and digital aids that provide field personnel with accurate equipment history and procedures.  

Job Requirements:

  • Prior experience in equipment reliability, predictive maintenance or physics-based modeling in oil and gas

  • Expert programming skills in Python (SciPy, NumPy) for simulation and model development

  • Strong foundation in reliability engineering methods such as root cause analysis (RCA), alarm management KPIs, and failure mode modeling.

  • Strong communication skills with the ability to explain complex models to non-technical stakeholders

  • Ability to manage multiple priorities and deliver results on time

Minimum Qualifications:

  • Bachelor's degree in Mechanical Engineering, Petroleum Engineering, Data Science or related field

  • 0-5 years of experience applying data science modeling or reliability engineering in industrial settings

  • 2+ years building and deploying data-science algorithms on cloud platforms (AWS, GCP or Azure)

  • A basic understanding of maintenance workflows, work orders, and asset hierarchies is required. 

Preferred Qualifications:

  • Prior internship or project experience involving industrial IoT sensor data and predictive maintenance is preferred.

  • Master's degree or higher in a quantitative engineering or physical science discipline

  • Research publications or patents in equipment reliability, preventative maintenance or related areas

#NexTierJob

The Evolving Oil Field Demands Evolving Service Providers

NexTier is a leading provider of integrated completions that employs sustainable practices and equipment to support our customers' ESG goals while accelerating production in the most demanding US land basins.

Patterson-UTI is committed to a workplace free from discrimination and harassment, offering equal employment opportunities to all individuals regardless of personal characteristics protected by law. Employees are encouraged to report any concerns through multiple channels.


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