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Weekend Data Science Internships Jobs in Texas (NOW HIRING)

Stay up-to-date with the latest data science techniques, tools, and best practices. Qualifications ... Requires periods of non-traditional hours including consecutive nights or weekends when necessary

... data scientists, and/or software developers. Earth Scientists develop technical skills in ... Interns will be provided guidance by a supervisor and a technical mentor. We encourage the ...

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering * Master's degree from an accredited college or university in Computer ...

Drive the data science and AI roadmap using extensive mortgage industry domain knowledge. Identify ... Flexibility to work occasional adjusted work schedules, overtime, and evening and/or weekend hours ...

D. ina quantitativediscipline. * 8+ years of data science experience in financial services or the ... Flexibility to workoccasionaladjusted work schedules, overtime, and evening and/or weekend hours to ...

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Weekend Data Science Internships information

What is the difference between Weekend Data Science Internships vs Weekend Data Analyst Internships?

AspectWeekend Data Science InternshipsWeekend Data Analyst Internships
Required SkillsBasic programming, statistics, data manipulationData interpretation, reporting, Excel skills
Work EnvironmentCollaborative, project-based, research-focusedBusiness-oriented, reporting, dashboards
Industry UsageTech, finance, healthcare, academiaRetail, marketing, finance, consulting

Weekend Data Science Internships focus on developing skills in programming, machine learning, and statistical analysis, often involving research projects. Weekend Data Analyst Internships emphasize data interpretation, reporting, and visualization for business insights. Both roles are valuable for gaining industry experience but differ in technical depth and application focus.

What are the most commonly searched types of Data Science Internships jobs in Texas? The most popular types of Data Science Internships jobs in Texas are:

Data Scientist, Smart Maintenance, & Equipment Reliability

Patterson-UTI

Houston, TX • On-site

Full-time

Re-posted 10 days ago


Patterson-UTI rating

5.0

Company rating: 5.0 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

81st of 86 rated oil and gas companies


Job description

Job Summary:
Patterson-UTI is a leading provider of integrated completions that employs sustainable practices and equipment to support their customers’ ESG goals. As a Data Scientist for the Smart Maintenance initiative, you will support the creation of digital twins and predictive job models to enhance operational efficiency and reduce downtime through advanced data management and analytics.
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.
Qualifications:
Required:
• 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
• 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:
• 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
Company:
Patterson-UTI is a leading provider of drilling and completion services to oil and natural gas exploration and production companies in the United States and other select countries, including contract drilling services, integrated well completion services and directional drilling services in the United States, and specialized bit solutions in the United States, Middle East and many other regions around the world. Founded in 1978, the company is headquartered in Houston, USA, with a team of 10001+ employees. The company is currently Late Stage.

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