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Internship Python Jobs in Houston, TX (NOW HIRING)

UGI

Commercial Optimization Analyst

Houston, TX · Hybrid

Working knowledge of SQL and Python with enthusiasm for expanding technical capabilities ... Minimum of 2 years of professional experience; relevant internship experience will be considered ...

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How much do internship python jobs pay per hour?

As of May 29, 2026, the average hourly pay for internship python in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

What is an Internship Python job?

An Internship Python job is a temporary position where interns gain hands-on experience working with Python in real-world projects. Typically, interns assist in coding, debugging, data analysis, and automation tasks under the guidance of experienced developers. These internships help build practical programming skills and improve problem-solving abilities. They are often offered by tech companies, startups, and research institutions.

What are the key skills and qualifications needed to thrive in the Internship Python position, and why are they important?

To thrive as an Internship Python candidate, you should have a solid understanding of Python programming fundamentals, data structures, and algorithms, often backed by coursework or self-taught projects. Familiarity with version control systems like Git and experience working with Python libraries such as pandas, NumPy, or Flask is highly beneficial. Strong problem-solving skills, eagerness to learn, and effective communication are important soft skills for this position. These skills enable you to effectively contribute to team projects, adapt to real-world coding tasks, and grow within a professional software development environment.

What types of projects and responsibilities can I expect during a Python internship?

During a Python internship, you can expect to work on a variety of tasks such as writing and testing Python scripts, assisting in the development of web applications, automating data processing pipelines, or contributing to team-based coding projects. Interns often collaborate with senior developers and may participate in code reviews, debugging sessions, and regular team meetings. These projects are designed to give hands-on experience with professional development workflows and tools, helping interns build both their technical and teamwork skills. You may also have opportunities to learn about project management practices and contribute ideas to real-world solutions. Many organizations offer mentorship and structured feedback to help you grow and prepare for future roles in software development.
More about Internship Python jobs
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Internship Python jobs near you
Data Scientist, Smart Maintenance, & Equipment Reliability

Data Scientist, Smart Maintenance, & Equipment Reliability

Patterson-UTI

Houston, TX • On-site

Full-time

Posted 28 days ago

Patterson-UTI rating

4.4

Company rating: 4.4 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

71st of 74 rated oil and gas companies

Job description

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

About Us
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.

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