Job DescriptionPosition OverviewStantec is seeking a motivated Data Analytics and AI Innovation Intern to join our Alpharetta, GA team for Summer 2026, typically May-August, full-time. This internship offers a unique opportunity to apply cutting-edge AI, data analytics, and innovation skills to real-world engineering workflows in water resources, environmental services, and infrastructure projects. You will work closely with project teams, including experienced engineers and collaborating researchers to evaluate AI tools, develop practical standard operating procedures (SOPs), and contribute directly to technical tool development. This role provides hands-on experience bridging AI innovation with practical engineering applications.
Key Responsibilities - Evaluate and recommend AI-powered tools and technologies tailored to Stantec's engineering workflows, with a focus on improving efficiency and quality in daily tasks.
- Develop practical SOPs and implementation guides for AI-assisted engineering activities, such as generating high-quality meeting minutes, presentation summaries, or action items, automating the creation or drafting of professional engineering reports and documents, and implementing automated quality review and consistency checks for reports, calculations, spreadsheets, and deliverables.
- Actively contribute to 1-2 ongoing technical tool development efforts, with hands-on coding and problem-solving, utilizing a combination of coding, modeling, and analytical skills.
- Collaborate with multidisciplinary teams to test, document, and refine AI-driven solutions.
- Participate in team meetings, project reviews, and professional development sessions as part of Stantec's internship program.
QualificationsQualifications - Current college junior or senior pursuing a bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering (with strong computational focus), or a closely related discipline.
- Strong programming skills in Python (preferred) or Java; experience with libraries such as pandas, numpy, scipy, or similar for data processing and simulation.
- Familiarity with AI/ML concepts and tools (e.g., large language models, prompt engineering, or basic generative AI applications) is highly desirable.
- Coursework in probability and statistics strongly preferred; familiarity with statistical modeling, uncertainty quantification, or Monte Carlo methods is a plus
- Interest in applying technology to engineering/environmental challenges (experience in civil/environmental engineering or water resources is a plus but not required).
- Excellent analytical, problem-solving, and communication skills.
How to ApplyInterested candidates should submit a resume and unofficial transcript.
About the TeamPay Transparency: In compliance with pay transparency laws, pay ranges are provided for positions in locations where required. Please note, the final agreed upon compensation is based on individual education, qualifications, experience, and work location. At Stantec certain roles are bonus eligible. Actual compensation for part-time roles will be pro-rated based on the agreed number of working hours per week.
Benefits Summary: Regular full-time and part-time employees (working at least 20 hours per week) have access to medical, dental, and vision plans, a wellness program, health saving accounts, flexible spending accounts, 401(k) plan, employee stock purchase program, life and accidental death & dismemberment (AD&D) insurance, short-term/long-term disability plans, emergency travel benefits, tuition reimbursement, professional membership fee coverage and paid family leave. Regular full-time and part-time employees will receive ten paid holidays in each calendar year. In addition, employees will be eligible to accrue vacation between 10 and 20 days per year and eligible for paid sick leave (and if more generous, in accordance with state and local law).
Temporary/casual employees have access to 401(k) plans, employee stock purchase program, and paid leave, in accordance with state and local law.
The benefits information listed above may not apply to union positions because benefits for such positions are governed by applicable collective bargaining agreements
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