Data Science Intern - Infrastructure (Summer 2027)

Stantec; Orlando (FL); On-site; USD 18,000 - 26,000; Full time

Job summary

Stantec’s Transportation Business Line in Orlando, FL invites applications for a Data Science Intern. This role supports industry research, market intelligence, and strategic insights to drive growth and inform digital tool development within transportation.

You will work with experienced practitioners and clients, gaining hands-on experience in data analytics, research methodologies, and digital solutions relevant to transportation planning and infrastructure projects.

Qualifications

• Conduct in-depth market research on the Transportation Market in North America, identifying emerging trends, key players, and industry dynamics.
• Analyze upcoming business pursuits, providing insights into potential projects and competitive positioning.
• Investigate past wins and market trends to inform data‑driven business strategies.
• Research leading construction companies, examining their market presence, capabilities, and project involvement within the transportation industry.
• Collaborate with internal teams to design and develop methodologies for data exploration (EDA), hypothesis testing, and modeling using advanced statistics, machine learning, and data analytics.
• Support the digital transformation efforts in transportation by contributing to research and the development of innovative digital solutions.

Responsibilities

• Conduct in-depth market research on the Transportation Market in North America, identifying emerging trends, key players, and industry dynamics.
• Analyze upcoming business pursuits, providing insights into potential projects and competitive positioning.
• Investigate past wins and market trends to inform data‑driven business strategies.
• Research leading construction companies, examining their market presence, capabilities, and project involvement within the transportation industry.
• Collaborate with internal teams to design and develop methodologies for data exploration (EDA), hypothesis testing, and modeling using advanced statistics, machine learning, and data analytics.
• Support the digital transformation efforts in transportation by contributing to research and the development of innovative digital solutions.

Job description

Your Opportunity

Learning begins in the classroom but there’s no better place to gain real-world experience than with Stantec. Interns are an integral part of our teams, working to solve some of the world’s most complex challenges.

As an intern, you’ll work alongside our experienced practitioners and with our clients and communities. This hands‑on experience will equip you with practical skills, build your network, and provide opportunities that set you up for success.

We create the connections that get people and goods moving—whether by car, bus, train, plane, or their own two feet. Working within the context of the communities we serve, we provide planning, engineering, and infrastructure management services that fit the needs of our clients and improve the overall transportation experience.

Join our Transportation Business Line and Major Projects Team as a Data Science Intern in our Orlando, FL office and play a key role in driving industry research, market intelligence, and strategic insights to support business growth. This role provides a valuable opportunity to engage with digital tools and research methodologies that shape the transportation sector.

Your Key Responsibilities

• Conduct in-depth market research on the Transportation Market in North America, identifying emerging trends, key players, and industry dynamics.
• Analyze upcoming business pursuits, providing insights into potential projects and competitive positioning.
• Investigate past wins and market trends to inform data‑driven business strategies.
• Research leading construction companies, examining their market presence, capabilities, and project involvement within the transportation industry.
• Collaborate with internal teams to design and develop methodologies for data exploration (EDA), hypothesis testing, and modeling using advanced statistics, machine learning, and data analytics.
• Support the digital transformation efforts in transportation by contributing to research and the development of innovative digital solutions.