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Internship Data Science Civil Engineering Jobs in Ohio

Credence

Data Science Manager

Dayton, OH · On-site

Position Summary Credence has an immediate need for a Data Science Manager at the journeyman level ... The Headquarters Air Force Material Command Directorate of Logistics, Civil Engineering, Force ...

Bi-Con Engineering

Civil Engineer

Cambridge, OH · On-site

A Bachelor of Science degree in civil engineering (ABET-accredited) is required * Minimum 0-2 years' work experience with EIT or minimum 0-4 years' work experience without EIT required * Engineer in ...

Kemper

Data Science Manager

Columbus, OH · Hybrid

Manages a small team of data scientists and data engineers to research, design, develop, deploy, and maintain machine learning, AI, and agentic AI solutions supporting the Claims organization.

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Internship Data Science Civil Engineering information

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.

What skills and qualifications are needed for an internship data science civil engineering?

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 is an internship data science civil engineering role?

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 types of projects can I expect to work on during an internship data science 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 the most commonly searched types of Data Science Civil Engineering jobs in Ohio? The most popular types of Data Science Civil Engineering jobs in Ohio are:
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Internship Data Science Civil Engineering jobs near you

Data Science Manager

Credence

Dayton, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Overview

At Credence, we support our clients’ mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future.

We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 13 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success.

Position Summary

Credence has an immediate need for a Data Science Manager at the journeyman level to support HQ AFMC A4/10 at Wright Patterson AFB, OH. . This role is ideal for a data professional who enjoys transforming complex procurement, logistics, and enterprise systems data into actionable insights through analytics, automation, dashboards, data modeling, and decision-support solutions for Air Force stakeholders.

The Headquarters Air Force Material Command Directorate of Logistics, Civil Engineering, Force Protection, and Nuclear Integration (HQ AFMC/A4/10) has the AFMC mission responsibility to: shape the workforce and infrastructure to provide logistics, sustainment, and installation support for acquisition logistics, supply management, depot maintenance, and base-level logistics operations, and deliver responsive strategic facility and infrastructure oversight and over-arching direction for all Major Command (MAJCOM) security operations…resulting in war-winning expeditionary capabilities.

In this position, the selected candidate will support enterprise data modernization efforts by helping connect data across systems, improve data quality, identify trends, develop meaningful visualizations, and translate business needs into scalable analytics and business intelligence solutions.

Responsibilities include, but are not limited to the duties listed below:

  • Provide professional services in support of the Digital Materiel Management (DMM) initiative as defined in the PWS.
  • Support DMM modernization efforts by providing integrated tools for contract data normalization, analysis, and analytics to facilitate Air Force-wide insight into procurement data.
  • Utilize current and future DoD and Air Force IT systems to connect procurement data and generate tools and visualizations for the procurement community.
  • Perform professional and administrative tasks in support of the contracting functional community’s DMM efforts.
  • Gather business requirements, analyze source systems, define underlying data sources and transformation requirements, design data models, and develop metadata for data analysis and visualization.
  • Acquire and analyze data and metrics across the enterprise to determine how they can be incorporated into data visualizations and dashboards.
  • Conduct exploratory data analysis, trend analysis, and data quality assessments to uncover patterns, risks, opportunities, and actionable insights that support operational and strategic decision-making.
  • Collaborate with business areas and project teams to elicit, identify, prioritize, and document data visualization and business intelligence requirements.
  • Translate complex data findings into clear narratives, dashboards, and data stories that enable non-technical stakeholders to understand key insights and make informed decisions.
  • Serve as a functional and technical data visualization and business intelligence subject matter expert.
  • Translate business analysis and business needs into prototype concepts for reports and dashboards and contribute to design and visualization best practices.
  • Utilize business intelligence tools to take dashboard requirements and develop deliverable solutions.
  • Create and update Python scripts for data translation from multiple sources.
  • Support data pipeline, data integration, and automation activities by working with structured and unstructured data from multiple enterprise systems and applying repeatable, scalable approaches to data transformation.
  • Serve as a functional and technical Robotic Process Automation (RPA) subject matter expert.
  • Document data acquisition, data management, and data governance processes.
  • Promote data governance, metadata management, data lineage, and standardization practices to improve consistency, usability, and trust in enterprise data assets.
  • Make and implement process improvements and efficiencies.
  • Create training materials and user guides.
  • Conduct group and one-on-one training sessions with end users.

Requirements

Education, Requirements and Qualifications:

  • Must have an active or current Secret security clearance, or higher.
  • BA/BS degree and at least three (3) years of experience in the respective technical/professional discipline being performed, with proper certifications required in the labor category performance requirements
  • OR six (6) years of directly related experience.
  • Knowledgeable in enterprise software development and the acquisition life cycle, with applied knowledge of Government program management skills and document preparation.
  • Ability to use Government-provided office automation tools.
  • Knowledge of federal and Department e-business and contracting systems, analytics platforms, and data tools, including but not limited to Conwrite, Automated Contract Preparation System (ACPS), CON-IT, Advana, CDO-VALT, Program Management Resource Tools (PMRT), Federal Procurement Data System-Next Generation (FPDS-NG), Procurement Integrated Enterprise Environment (PIEE) suite, Electronic Document Access (EDA), Wide Area Workflow (WAWF), ABSS, ERP systems, SQL, Python, UiPath, Qlik Sense, QlikView, Tableau, Power BI, Power Apps, and · Power Automate, data modeling, dashboard development, data visualization, data transformation, and business intelligence reporting.
  • Extensive knowledge of the federal acquisition process, including in-depth experience with the Federal Acquisition Regulation (FAR), Defense Federal Acquisition Regulation Supplement (DFARS), Department of the Air Force Federal Acquisition Regulation Supplement (DAFFARS), and DoD and Air Force acquisition instructions.

Preferred Experience:

  • Hands-on experience with Python, SQL, Power BI, Tableau, Qlik, Power Apps, Power Automate, UiPath, or similar tools for dashboards, reporting, automation, and data-driven solutions.
  • Experience leveraging AI/ML, Generative AI, predictive analytics, or automation technologies to improve data-driven decision-making, business process efficiency, and operational outcomes within DoD, Air Force, or federal environments.
  • Experience with data pipelines, integration, transformation, cleansing, validation, data modeling, governance, metadata, or data lineage.
  • Ability to apply exploration analysis, trend analysis, statistical analysis, predictive analytics, or machine learning concepts to support business insights and decision-making.
  • Strong ability to present complex data insights through clear dashboards, visualizations, narratives, and recommendations for technical and non-technical stakeholders.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development