Senior Data Scientist

Many of the world’s top engineers, technologists, and scientists come together in our Water business because they see infrastructure not just as systems, but as opportunities to serve people and protect the environment. Our Management & Technology Consulting (MTC) team helps utilities and public agencies solve complex challenges at the intersection of data, technology, and operations.

We deliver modern solutions through a mix of advanced analytics, machine learning, data engineering, GIS, cloud platforms, and operational consulting. We're a fast-growing, multidisciplinary team that partners with clients to reimagine how they plan, operate, and improve critical infrastructure.

Your Opportunity

We are seeking a Senior Data Scientist to join our Management & Technology Consulting team. This role will focus on designing, developing, and deploying data science solutions that support asset management, operations, and decision-making—turning raw data into actionable insights through analytics, machine learning, and predictive modeling.

In addition to technical development work, this person will collaborate directly with clients to define use cases, shape digital transformation strategies, and modernize how public agencies and utilities harness data to improve performance and resilience. This is a highly collaborative, client-facing role ideal for someone who thrives at the intersection of advanced analytics, business strategy, and technology implementation.

Key Responsibilities

• Design and deliver end-to-end data science solutions, including predictive models, optimization algorithms, and decision-support dashboards.
• Work with clients to identify high-value use cases for AI/ML, data analytics, and digital transformation.
• Develop data pipelines, statistical models, and machine learning workflows to address infrastructure, environmental, and operational challenges.
• Collaborate within multidisciplinary teams of engineers, GIS specialists, and consultants to integrate analytics into enterprise workflows.
• Translate complex datasets into compelling visualizations and narratives that drive decision-making.
• Build, validate, and deploy models in production environments (cloud and on-premises), ensuring scalability and reliability.
• Support business development activities including scoping, client presentations, and proposal development.

Technical Skillsets We’Re Looking For:

• Proficiency in Python (preferred), R, or similar languages for data science and machine learning.• Experience with ML frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.• Strong data engineering skills (ETL pipelines, SQL, Spark, or cloud-native tools such as Azure Data Factory or AWS Glue).• Knowledge of cloud environments (Azure, AWS, GCP) and MLOps practices for deploying models.• Experience with geospatial analytics, spatial data processing, and GIS platforms (Esri preferred).• Ability to integrate analytics with business intelligence tools (e.g., Power BI, Tableau) for interactive insights.

Industry & Strategic Experience:

• Consulting experience with utilities, local governments, or public infrastructure agencies.
• Understanding of digital transformation frameworks, including how analytics supports organizational change.
• Experience applying predictive analytics to asset management, operations optimization, or risk management
• Familiarity with asset lifecycle management, ISO 55000 principles, and performance-based decision-making.
• Experience facilitating workshops or co-developing analytics strategies with clients.

Personal Characteristics:

• Analytical and strategic – You can dive into the data while connecting insights to big-picture outcomes.
• Versatile – You’re comfortable moving between statistical modeling, data engineering, and client-facing discussions
• Client-focused – You know how to communicate complex ideas clearly and build trust.
• Collaborative – You value diverse expertise and thrive in multidisciplinary teams.
• Proactive – You take ownership of problems, identify opportunities, and drive solutions forward.

Education And Experience

• Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or related field. Master’s or PhD preferred.
• 8+ years of progressive experience in data science, advanced analytics, or machine learning (consulting environment preferred).
• Experience leading data science projects from ideation to deployment.
• Prior experience working with public sector or utility clients is a plus.

This role may require up to 15% travel. A valid driver's license and satisfactory driving record are required. This description is not a comprehensive listing of activities, duties or responsibilities that may be required of the employee and other duties, responsibilities and activities may be assigned or may be changed at any time with or without notice. 

Stantec is a place where the best and brightest come to build on each other’s talents, do exciting work, and make an impact on the world around us. Join us and redefine your personal best.