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Internship Data Science Civil Engineering Jobs (NOW HIRING)

Padagis is seeking a current college student or recent graduate to work as a Data Science Intern, working closely with our Business Transformation Team to provide support for various projects ...

Civil Engineering Intern

Concord, CA ยท On-site

$25 - $34.11/hr

Interns will be paired with experienced engineering and science staff who will provide training on ... Collaborate with current engineering staff in the interpretation of engineering data, conduct ...

Civil Engineer - Project Manager (PE)

Lehi, UT ยท On-site

$79.80K - $106.50K/yr

About Civil Science Civil Science isn't just another engineering firm-we're a 100% employee-owned company with over 40 years of expertise and a bold vision for the future. Our team of talented ...

Civil Engineering Internship - Paid Own Your Future at Psomas Join a 100% employee-owned firm built for long-term thinking, shared success, and meaningful impact. As a Civil Engineering Intern , you ...

Civil Engineering Internship (Summer 2026)

Fairbanks, AK ยท On-site

$18.25 - $23.50/hr

... Civil Practice Areas. Summary Kickstart your engineering career with a hands-on summer internship ... and interpret scientific and technical journals. * Ability to define problems, collect data ...

Civil Engineering Intern

Radford, VA ยท On-site

$16.50 - $21.50/hr

Join Thompson & Litton in our Radford office for a hands-on internship that puts you at the center ... You are currently enrolled in a Bachelor of Science program for Civil Engineering . * Communication:

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Internship Data Science Civil Engineering information

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How much do internship data science civil engineering jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for internship data science civil engineering in the United States is $19.85, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $21.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Data Science Civil Engineering, and why are they important?

To thrive as an intern in Data Science for Civil Engineering, you need a foundational understanding of civil engineering principles, basic statistics, and data analysis, often supported by ongoing or completed coursework in civil engineering or data science. Familiarity with programming languages like Python or R, knowledge of data visualization tools, and experience with software such as MATLAB or AutoCAD are typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are essential for leveraging data-driven insights to solve engineering challenges and support project decision-making.

What types of projects can I expect to work on during a Data Science internship in Civil Engineering?

As a Data Science intern in Civil Engineering, you may be involved in projects such as analyzing structural health monitoring data, optimizing transportation systems using predictive modeling, or automating data collection from construction sites. Interns often collaborate with engineers and data professionals to interpret large datasets, develop machine learning models, and create visualizations that support infrastructure planning and decision-making. The work environment is typically interdisciplinary, giving you valuable exposure to both technical data science tools and practical civil engineering applications.

What are internship data science roles in civil engineering?

Internship data science roles in civil engineering involve using data analysis, machine learning, and statistical methods to solve problems in areas like construction, transportation, and infrastructure. Interns may work with large datasets from sensors, surveys, or simulations to help civil engineers make better decisions about design, safety, and efficiency. These roles often require knowledge of programming languages like Python or R, as well as an understanding of civil engineering principles. Interns gain practical experience by working on real-world projects, often supporting tasks such as predictive modeling, data visualization, and report generation.

What is the difference between Internship Data Science Civil Engineering vs Civil Engineering Intern?

AspectInternship Data Science Civil EngineeringCivil Engineering Intern
Required CredentialsBasic knowledge of data science, programming, civil engineering fundamentalsEnrolled in civil engineering degree, basic engineering coursework
Work EnvironmentData analysis, modeling, software tools, field visitsSite visits, design work, construction supervision
Employer & Industry UsageEngineering firms, government agencies, construction companiesConstruction firms, consulting agencies, government departments
Common Search & ComparisonInternship Data Science Civil EngineeringCivil Engineering Intern

The Internship Data Science Civil Engineering focuses on applying data analysis and modeling within civil engineering projects, often involving software tools and data-driven decision making. In contrast, a Civil Engineering Intern typically engages in site visits, design tasks, and construction supervision. Both roles serve as entry points into the civil engineering industry but emphasize different skill sets and work environments.

More about Internship Data Science Civil Engineering jobs
What cities are hiring for Internship Data Science Civil Engineering jobs? Cities with the most Internship Data Science Civil Engineering job openings:
What are the most commonly searched types of Data Science Civil Engineering jobs? The most popular types of Data Science Civil Engineering jobs are:
What states have the most Internship Data Science Civil Engineering jobs? States with the most job openings for Internship Data Science Civil Engineering jobs include:
Infographic showing various Internship Data Science Civil Engineering job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 89% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $41,288 per year, or $19.9 per hour.
Internship, Data Science

Internship, Data Science

Padagis LLC

Wyoming, MI โ€ข Hybrid

$27/hr

Part-time

Posted 12 days ago


Job description

Padagis is seeking a current college student or recent graduate to work as a Data Science Intern, working closely with our Business Transformation Team to provide support for various projects involving both technical teams and functional business teams.

This position is targeting a minimum of 20 hours per week hybrid/on-site (up to 40 hours), minimum ending in August 2026, commitment beyond August is highly desired and flexible with academic commitments.

Job duties:

  • Data flow investigation and documenting mapping in various systems
  • Business process workflow mapping, document design creation
  • Potential dashboard creation using Power BI desktop
  • Supporting our Master Data and Robotic Process Automations (RPA) teams with various needs

    Required qualifications:

    • Incoming juniors, seniors or graduate students
    • Pursuing an undergraduate/grad degree in the technology space such as: Information Systems, Computer Science, Data Analytics, or related business discipline AND either has a minor, second major, or high interest in a non-technical department, such as: ย Operations Finance, Supply Chain, Commercial, etc
    • High openness to experiences, naturally inquisitive, and proactively seeks to understand and has determination to root-cause analyze
    • Inherently a strong communicator: the ability to explain complex technical concepts in simple terms to non-technical stakeholders, and conversely, to articulate business needs to technical teams.
    • Available to work a minimum of 20 hours/week up to 40 hours, duration is negotiable

          Preferred qualifications:

          • Exposure to SAP ERP
          • Coding in Python, SQL, VB or R for statistical modelling and integrations into BI platforms (desired, but not required)

          Padagis Core Competencies:

          Since its beginning, Padagis has been undergoing the process of identifying what we believe will lead to the success of our organization in a competitive landscape. To that end, we have developed a set of five โ€œcoreโ€ competencies. We strive to bring employees on board the journey with us who exemplify these key competencies:

          • Service delivery โ€“ Understand who your internal and external customers are, identify their needs, and deliver value above their expectationsโ€ฆ
          • Active collaboration โ€“ Seek opportunities to work together across teams, function, business units, and geographies to seek successโ€ฆ
          • Demonstrate agility โ€“ Proactively identify changes in our environment and act quickly, leading or embracing changeโ€ฆ
          • Think differently โ€“ Create, develop, and implement new ideas, products, services, or processes that involve introducing something new or significantly improving something that already existsโ€ฆ
          • Excellent execution โ€“ Achieve outstanding results in all aspects of our organization, including our culture, leadership, strategy, and processesโ€ฆ

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          About Padagis

          Sourced by ZipRecruiter

          Industry

          Pharmaceutical and medicine manufacturing

          Company size

          201 - 500 Employees

          Headquarters location

          Allegan, MI, US

          Year founded

          2004