DS Intern

Brown and Caldwell•Chicago, IL

2d•$18 - $30

About The Position

The DS Intern applies academic knowledge to real-world technical challenges while supporting consulting teams on projects within an assigned technical discipline. Working alongside experienced technical professionals, the intern assists with research, analysis, documentation, and project-support activities that contribute to client and internal initiatives. The role provides exposure to technical consulting, multidisciplinary collaboration, and the project lifecycle, including data analysis, technical evaluations, research, and preparation of technical materials. The intern works under close supervision with regular guidance from experienced colleagues or supervisors. This is a summer internship offering hands-on experience in a collaborative professional consulting environment. Interns receive guidance from a people manager and team, support project objectives, attend workshops and summer sessions, and complete an intern capstone project.

Requirements

Currently enrolled in an accredited undergraduate or graduate degree program in Engineering (Mechanical, Electrical, Civil, or Software), Science (Biology, Chemistry, Physics, Environmental Science, or Data Science), or a related field.
Must continue enrollment in an accredited undergraduate or graduate degree program in a listed or related field after the internship.
GPA of at least 3.0 on a 4.0 scale, or equivalent.
No prior professional experience is required.
Ability to organize information, maintain documentation, track tasks, and pay attention to detail.
Basic written and verbal communication skills, including the ability to share information, ask questions, and document notes or action items.
Ability to apply academic knowledge to practical, real-world technical challenges.
Familiarity with technical, scientific, or data-analysis tools relevant to the assigned discipline, and willingness to learn new tools.
Ability to work effectively on a team and contribute positively in a collaborative technical environment.
Adaptability, curiosity, and eagerness to learn in a consulting and project-based environment.
Interest in consulting, client engagement, and technical communication.
Positive attitude; ability to follow instructions, respect confidentiality, and behave professionally in a workplace setting.

Nice To Haves

Data analysis and data visualization skills.
Basic coding or programming skills and a desire to learn.
Interest or experience in AI implementation, AI-enabled tools, or AI-assisted coding tools.
Strong statistical and quantitative skills.
Ability to learn new tools and concepts quickly.
Self-directed approach and ability to work with minimal guidance.
Agility and adaptability when working on new or evolving projects.
Pursuing a degree in Data Science, Statistics, Mathematics, Computer Science, Environmental Engineering, or a related field.
Environmental engineering coursework, major, or minor, particularly when paired with strong data science or quantitative experience.
Previous academic, project, or work experience involving data science, data analysis, statistical analysis, visualization, AI, or coding.
Exposure to environmental engineering, water, or environmental applications.
Experience applying technical or quantitative skills to real-world problems.

Responsibilities

Collaborate with cross-functional and multidisciplinary teams to support project planning and execution.
Support day-to-day activities within assigned projects or functional areas.
Participate in internal and external meetings by taking notes, tracking action items, and supporting follow-up activities.
Perform technical or support tasks within the assigned functional area and technical specialty to support project and team needs.
Manage and deliver assignments on time.
Perform technical and operational tasks assigned to support evolving business and team needs.
Attend and complete Intern Workshops and Intern Summer Series Sessions.
Complete the intern capstone project assignment.
Adapt to and execute additional assignments based on evolving needs.