remote
Data Scientist Intern - Water - Stantec
Data Scientist
Hands‑on data science internship focused on water, wastewater, biosolids and energy projects. Apply Python, machine learning, data analysis, SQL and GIS to develop digital tools and insights that drive sustainable water solutions.
About the role
Key Responsibilities
- Assist in collecting, cleaning, and preprocessing large environmental datasets related to water quality, wastewater treatment, and energy usage.
- Develop and validate machine learning models to predict system performance, identify anomalies, and optimize resource allocation.
- Collaborate with cross‑functional teams to translate analytical findings into actionable recommendations for clients and stakeholders.
- Create interactive dashboards and visualizations using Python libraries (e.g., Plotly, Dash) and GIS tools to communicate insights.
- Document methodologies, code, and results in clear, reproducible formats for internal and external reporting.
Requirements
- Current enrollment in a STEM program (Data Science, Environmental Engineering, Computer Science, or related field).
- Proficiency in Python and experience with data manipulation libraries (pandas, NumPy).
- Basic knowledge of machine learning frameworks (scikit‑learn, TensorFlow, or PyTorch).
- Familiarity with SQL and relational database concepts.
- Strong analytical mindset, excellent communication skills, and a passion for sustainable water solutions.
Skills
pythonmachine learningdata analysissql