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Internship Data Science Civil Engineering Jobs in Washington

Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data ... Domain knowledge in civil engineering, manufacturing, structural engineering, or mechanical ...

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data ... Domain knowledge in civil engineering, manufacturing, structural engineering, or mechanical ...

As Civil Engineering Manager, you will also be responsible for nurturing a positive, team-oriented ... science & technology, healthcare, multifamily, retail, hospitality and public/institutional ...

Civil Engineering Lead

Washington, DC · On-site

$100K - $200K/yr

Pantheon Data was founded in 2011, initially providing acquisition and supply chain management ... The Civil Engineering Lead will also contribute to process improvement efforts, system integration ...

The Civil Engineering Manager is a key member of the Ware Malcomb senior management team ... science & technology, healthcare, multifamily, retail, hospitality and public/institutional ...

Civil Engineering Lead

Washington, DC · On-site

$100K - $200K/yr

Pantheon Data was founded in 2011, initially providing acquisition and supply chain management ... The Civil Engineering Lead will also contribute to process improvement efforts, system integration ...

Civil Engineering Tutor

Laurel, MD · Remote

$18 - $40/hr

Adapts instruction using structural analysis software, geotechnical data interpretation, and design ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Civil Engineering Tutor

Leesburg, VA · Remote

$18 - $40/hr

Adapts instruction using structural analysis software, geotechnical data interpretation, and design ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Civil Engineering Tutor

Bowie, MD · Remote

$18 - $40/hr

Adapts instruction using structural analysis software, geotechnical data interpretation, and design ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Entry Level Civil Engineer

Elkridge, MD · On-site

$62K - $90K/yr

Related engineering internship or co-op work experience. * Successful completion of the ... You are expected to take engineering problems from issue to solution using data and modern tools ...

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

As a Data Science Subject Matter Expert with JCTM you will provide technical expertise and ... Collaborate with data engineers software developers cloud engineers operational planners and other ...

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 ...

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 ...

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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 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 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 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 the most commonly searched types of Data Science Civil Engineering jobs in Washington? The most popular types of Data Science Civil Engineering jobs in Washington are:
What are popular job titles related to Internship Data Science Civil Engineering jobs in Washington? For Internship Data Science Civil Engineering jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Internship Data Science Civil Engineering jobs in Washington look for? The top searched job categories for Internship Data Science Civil Engineering jobs in Washington are:

Associate Director of Data Science

Blend360

Columbia, MD

$58K - $59K/yr

Full-time

Re-posted 7 days ago


Job description

Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com 

Job Description

We are seeking a highly skilled and experienced Data Scientust to join our team. In this pivotal role, you will lead our data science initiatives, driving innovation and delivering data-driven insights to support strategic decision-making across the organization.

  • Lead the delivery of AI and data science projects, managing a team of 4-5 developers and data scientists.

  • Design and implement AI solutions leveraging advanced techniques, including prompt engineering, agentic architectures, RAG, computer vision, predictive modeling, deep learning, and optimization.

  • Collaborate with stakeholders to translate business requirements into scalable data science solutions.

  • Ensure high-quality project execution, including architecture design, solution validation, deployment, and CI/CD management.

  • Mentor and guide team members, fostering growth and knowledge sharing.

  • Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

  • Maintain oversight of project timelines, resource allocation, and risk management.

Qualifications
  • 8-10 years of professional experience in Data Science, including 2-3 years in a Delivery Lead or Team Lead capacity.

  • Strong expertise in AI, including prompt engineering, agentic architectures, RAG, and computer vision.

  • Proven experience in predictive modeling, deep learning, optimization, algorithm design, and solution architecture.

  • Hands-on programming experience with Python and SQL.

  • Demonstrated leadership and team management skills.

  • Excellent problem-solving, project delivery, and business communication abilities.

Preferred Qualifications:

  • Domain knowledge in civil engineering, manufacturing, structural engineering, or mechanical/industrial engineering.

  • Project management experience and familiarity with Azure cloud infrastructure.

  • Experience with software deployment, quality assurance, CI/CD pipelines, and release cycle management.

Why Join Us:

  • Opportunity to lead cutting-edge AI projects across diverse industries.

  • Work with a collaborative, high-performing team of data scientists and engineers.

  • Influence the strategic direction of AI initiatives within the organization.