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Internship Data Link Jobs in Texas (NOW HIRING)

KPMG

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

Minimum one year of experience or strong internship/academic projects in data science, machine ... Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive ...

Metrix

Finance Intern

Houston, TX · On-site

$17 - $22.25/hr

Interns will work alongside experienced professionals, gaining valuable accounting and finance ... Cost Accounting - Review shop floor data and make suggested routing changes and updating standard ...

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Internship Data Link information

What is an internship data link?

An Internship Data Link typically refers to a platform, service, or program that connects students or job seekers with internship opportunities in the field of data science, analytics, or related areas. These links or portals aggregate available internships, making it easier for individuals to find roles that match their skills and interests. Internship Data Links can also provide resources such as application tips, resume guidance, and company information to help candidates prepare for the application process. Utilizing such services can be a valuable step in launching a career in data-related fields.

What kinds of projects do internship data link interns typically work on, and how do they contribute to the team?

Internship Data Link interns often participate in projects involving the collection, cleaning, and integration of diverse data sources to support analytical or operational needs. They may be tasked with building data pipelines, ensuring data quality, and preparing datasets for analysis under the guidance of experienced team members. This hands-on experience allows interns to develop valuable technical skills while directly contributing to the team's ongoing projects, often collaborating closely with data analysts, engineers, and other stakeholders. The collaborative environment helps interns learn industry best practices and gain insight into how data drives decision-making across the organization.

What key skills and qualifications are needed to thrive as a data link intern, and why are they important?

To thrive as a Data Link Intern, you typically need foundational knowledge in computer science or engineering, strong analytical skills, and experience with data management or telecommunications concepts. Familiarity with programming languages (such as Python or C++), data visualization tools, and industry-specific protocols or systems is often required. Effective communication, problem-solving abilities, and attention to detail are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, ensure data integrity, and adapt to the technical demands of the position.

What is the difference between Internship Data Link vs Data Analyst?

AspectInternship Data LinkData Analyst
Required CredentialsHigh school diploma or ongoing college courseworkBachelor's degree in data science, statistics, or related field
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time professional role, independent analysis
Employer & Industry UsageInternship programs across industries, training-focusedBusiness, finance, healthcare, tech sectors

The Internship Data Link typically involves entry-level, supervised tasks aimed at gaining foundational experience, often during academic studies. In contrast, a Data Analyst is a full-time professional responsible for analyzing data, generating reports, and supporting decision-making. While both roles involve working with data, the Internship Data Link is a stepping stone into the field, whereas Data Analyst is a specialized, ongoing career position.

What are popular job titles related to Internship Data Link jobs in Texas?

For Internship Data Link jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Internship Data Link jobs in Texas look for?

The top searched job categories for Internship Data Link jobs in Texas are:

Internship Data Link jobs near you
Infographic showing various Internship Data Link job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist, Smart Maintenance, & Equipment Reliability

Patterson-UTI

Houston, TX • On-site

Full-time

Re-posted 21 days ago

Patterson-UTI rating

5.0

Company rating: 5.0 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

82nd of 87 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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