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Library Science Internship Jobs in Conroe, TX (NOW HIRING)

Danaher

Software Automation Internships

Huntsville, TX · On-site

By submitting your interest, you'll be among the first to know when internship opportunities open ... sciences space? As an Automation Engineering Intern at Cytiva (a Danaher company), you would help ...

ESP Enterprises, Inc.

C/C++ Developer

Houston, TX · On-site

$90K - $100K/yr

Internships, co-op experiences, or personal/academic projects in C/C++ development are highly ... Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, or a related ...

BluePearl

Veterinary Cardiologist

Shenandoah, TX · On-site

$343K - $388K/yr

... future rotating interns. * For an individual desiring a team-oriented approach and a strong ... BluePearl Library - FREE access to 2,000+ veterinary and health science journals. * BluePearl ...

BluePearl

Veterinary Oncologist

Shenandoah, TX · On-site

$194.25/hr

... of rotating interns and help support future veterinary specialists. Life in Spring and The ... Science clinical studies * Access to more than 2,000 medical journals through the BluePearl Library ...

All JobsLibrary Science JobsLibrary Science Internship JobsLibrary Science Internship Jobs in Conroe, TX

Library Science Internship information

See Conroe, TX salary details

$7

$13

$18

How much do library science internship jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for library science internship in Conroe, TX is $13.31, according to ZipRecruiter salary data. Most workers in this role earn between $10.72 and $15.00 per hour, depending on experience, location, and employer.

What is the difference between Library Science Internship vs Library Technician?

AspectLibrary Science InternshipLibrary Technician
Required CredentialsTypically pursuing or recent graduate in Library Science or related fieldPost-secondary education or certification in library technology
Work EnvironmentAcademic, public, or special libraries; often temporary or part-timePublic, academic, or special libraries; full-time or part-time roles
Employer & Industry UsageInternship programs for students or recent grads to gain experienceFull-time or part-time staff supporting library operations
Search & Comparison IntentLearning about entry-level or training roles in librariesUnderstanding career pathways or job requirements in libraries

In summary, a Library Science Internship is a temporary, educational position aimed at students or recent graduates to gain practical experience. A Library Technician is a more permanent role requiring specific certifications or education, supporting daily library functions. Both roles are integral to library operations but differ mainly in experience level and employment status.

What is a Library Science Internship?

A Library Science Internship is a temporary, supervised work experience in a library or related information setting, designed for students or recent graduates studying library and information science. Interns gain practical skills in areas such as cataloging, reference services, archival work, and digital resource management. These internships help bridge the gap between academic studies and professional practice, providing valuable hands-on experience and networking opportunities. Many library science programs require or strongly encourage internships as part of their curriculum.

What are the key skills and qualifications needed to thrive as a Library Science Intern, and why are they important?

To thrive as a Library Science Intern, you need foundational knowledge in library systems, information organization, and research methods, typically gained through coursework in library science or a related field. Familiarity with integrated library systems (ILS), cataloging tools, and digital resource management platforms is often required. Strong attention to detail, communication, and a customer-service mindset are essential soft skills for this role. These capabilities ensure effective support for library operations, quality service for patrons, and efficient management of library resources.

What types of projects or responsibilities can interns expect during a Library Science Internship?

Library Science interns typically engage in a variety of hands-on projects that provide insight into both public-facing and behind-the-scenes aspects of library operations. Common responsibilities include assisting with cataloging and organizing library materials, supporting reference and research services, helping to plan and implement community programs, and working with digital resources and databases. Interns often collaborate with librarians, IT staff, and patrons, offering opportunities to develop professional skills and gain exposure to different library specializations. These diverse tasks help interns build a broad foundation for potential future roles in the library field.
What are popular job titles related to Library Science Internship jobs in Conroe, TX? For Library Science Internship jobs in Conroe, TX, the most frequently searched job titles are:
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What cities near Conroe, TX are hiring for Library Science Internship jobs? Cities near Conroe, TX with the most Library Science Internship job openings:
Library Science Internship jobs near you
Infographic showing various Library Science Internship job openings in Conroe, TX as of July 2026, with employment types broken down into 2% Internship, 73% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $27,681 per year, or $13.3 per hour.
Data Science Machine Learning Internship (Summer 2027)

Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

Full-time

Posted 4 days ago

Job description

Application Deadline: September 1, 11:59pm EST

Program Summary - Commercial Technology Internships

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.

Responsibilities:

  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:

  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.

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