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Internship Data Science Civil Engineering Jobs in Wheaton, IL

Varsity Tutors

FE - Civil Engineering Tutor

Wheaton, IL · Remote

$18 - $40/hr

What We Look For In a FE - Civil Engineering Tutor * Advanced Test Mastery: Deep knowledge of FE ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

FE - Civil Engineering Tutor

Oak Lawn, IL · Remote

$18 - $40/hr

What We Look For In a FE - Civil Engineering Tutor * Advanced Test Mastery: Deep knowledge of FE ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

FE - Civil Engineering Tutor

Chicago, IL · Remote

$18 - $40/hr

What We Look For In a FE - Civil Engineering Tutor * Advanced Test Mastery: Deep knowledge of FE ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Larson Engineering

Graduate Civil Engineer

Naperville, IL · On-site

$74K - $82K/yr

At a minimum, previous internship at a civil engineering firm.EIT certification or the ability to obtain certification.MS Office experience (Word and Excel). Preferred Qualifications Experience with ...

Inspire11

Data Science Consultant

Chicago, IL · On-site

Work with digital design and engineering practices on end-to-end solutions * Identify the right ... S. Compensation & Benefits Compensation at Inspire11 Inspire11 follows Title VII of the Civil ...

Inspire11

Data Science Consultant

Chicago, IL · On-site

Work with digital design and engineering practices on end-to-end solutions * Identify the right ... S. Compensation & Benefits Compensation at Inspire11 Inspire11 follows Title VII of the Civil ...

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All JobsData Science Civil Engineering JobsInternship Data Science Civil Engineering JobsInternship Data Science Civil Engineering Jobs in Wheaton, IL

Internship Data Science Civil Engineering information

See Wheaton, IL salary details

$13

$19

$25

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

As of Aug 11, 2026, the average hourly pay for internship data science civil engineering in Wheaton, IL is $19.19, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $21.15 per hour, depending on experience, location, and employer.

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 job categories do people searching Internship Data Science Civil Engineering jobs in Wheaton, IL look for? The top searched job categories for Internship Data Science Civil Engineering jobs in Wheaton, IL are:
What cities near Wheaton, IL are hiring for Internship Data Science Civil Engineering jobs? Cities near Wheaton, IL with the most Internship Data Science Civil Engineering job openings:
Internship Data Science Civil Engineering jobs near you
Infographic showing various Internship Data Science Civil Engineering job openings in Wheaton, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,906 per year, or $19.2 per hour.

Director, Data Engineering & Data Science Engineering

Ritchie Bros.

Westchester, IL • On-site

Full-time

Re-posted 14 days ago

Ritchie Bros. Auctioneers rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

4th of 18 rated auctioneers

Job description

About the Role

IAA is seeking a Director of Data Engineering & Data Science Engineering to lead a highly visible, business-critical function at the intersection of data, analytics, machine learning, and business transformation. This leader will define and drive the vision, architecture, and execution for IAA's data engineering and data science capabilities, ensuring the organization can scale advanced analytics, BI, forecasting, machine learning, and AI solutions that directly support business growth and operational excellence.

This role requires a strong technical leader and business problem solver who can partner across a broad set of stakeholders including Operations, Business, Sales, Marketing, Product, and Engineering. The ideal candidate brings deep expertise in the Azure BI and data ecosystem, strong people leadership, and the ability to translate complex business needs into practical, scalable data and AI solutions.

This position reports directly to the VP of Engineering and is a critical, high-visibility leadership role within the organization.

What You'll Do

  • Lead the Data Engineering and Data Science Engineering function for IAA, setting technical vision, delivery strategy, and operating rhythm
  • Build and evolve scalable data platforms, BI architecture, and ML-enablement capabilities using the Azure data and analytics stack
  • Drive strategy and execution across Microsoft Fabric, Synapse, Power BI, Azure BI technologies, and modern cloud data platforms
  • Partner with business and functional leaders to solve high-value problems across Operations, Sales, Marketing, Product, and other key areas
  • Guide the design and implementation of robust pipelines, semantic models, dashboards, self-service analytics, forecasting solutions, and machine learning systems
  • Help shape the roadmap for advanced analytics, predictive modeling, experimentation, and AI-driven insights
  • Mentor, coach, and grow data engineering and data science talent while raising the technical bar across the team
  • Establish strong engineering practices across architecture, delivery quality, scalability, governance, and operational excellence
  • Collaborate closely with engineering leaders and cross-functional teams to ensure data and AI solutions are aligned with platform, product, and business priorities
  • Act as a senior thought partner to leadership on data strategy, technical tradeoffs, and investment priorities

What We're Looking For

  • Proven experience leading Data Engineering, BI, Analytics, and/or Data Science Engineering teams at the Director level or equivalent
  • Deep expertise in the Azure BI / data technology stack, including:
    • Microsoft Fabric
    • Azure Synapse Analytics
    • Power BI
    • Broader Azure data and analytics services
  • Strong understanding of data engineering architecture, modern analytics platforms, and scalable data pipelines
  • Strong foundation in data science, machine learning, and model operationalization
  • Demonstrated ability to solve complex business problems through data, analytics, and technical leadership
  • Strong mentoring, coaching, and people leadership skills with experience growing high-performing technical teams
  • Excellent communication and stakeholder management skills; able to work effectively with a wide range of technical and non-technical partners such as Ops, Business, Sales, Marketing, Product, Engineering 
  • Ability to operate successfully in a fast-paced, high-visibility environment with multiple priorities and stakeholders
  • Strong executive presence and the ability to connect technical decisions to business outcomes

Preferred Experience

  • Experience supporting enterprise use cases across operations, commercial functions, and product-driven organizations
  • Experience driving both BI modernization and data science / ML adoption within the same organization
  • Familiarity with cloud-native engineering practices, production-grade data platforms, and secure, scalable AI/ML environments
  • Experience leading organizations that combine data engineering, analytics engineering, BI, and data scienceunder one leadership model

IAA Data Science / Engineering Technology Environment

We are looking for a leader who can guide and expand a modern data and AI ecosystem. Relevant technologies include Azure BI capabilities as well as IAA's broader data science and ML toolset, including technologies such as Python, SQL, Azure Event Hub, Apache Airflow, Synapse, Fabric, Docker, Terraform, DBT, PyTorch, TensorFlow, Vertex AI, Gemini, GPT, Prophet, TBATS, SARIMAX, scikit-learn, CI/CD pipelines, and Azure cloud platform.

Why This Role Matters

This is a critical leadership role for IAA. The Director will help shape how the company uses data, analytics, BI, and AI to make better decisions, improve business performance, unlock operational efficiencies, and create scalable competitive advantage. This leader will influence both technical direction and business outcomes across the organization.

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