Our public sector client is seeking a Data Scientist to develop machine learning and generative/agentic AI solutions using Python, R, Spark, and cloud platforms Our public sector client is seeking a Data Scientist to develop machine learning and generative/agentic AI solutions using Python, R, Spark, and cloud platforms
Join a Business Intelligence & Data Science team focused on improving safety oversight through data science and AI initiatives. This role supports the development, evaluation, and deployment of machine learning and generative/agentic AI solutions across inspection, compliance, and audit processes. The position works with complex data sources and cross-functional teams to deliver scalable analytics and AI products. This contract opportunity provides critical coverage for an ongoing data science function within the organization.
Must Haves Strong background applying machine learning techniques and generative AI solutions
Robust ability with Python and R
Fluency with Spark , relational SQL and NoSQL databases, and cloud platforms such as AWS or Azure
Experience building and optimizing data pipelines , architectures, and datasets
Master's Degree or above in Computer Science, Statistics, or Data Science
Nice to Have Experience with natural language processing, large language models, and/or computer vision
Experience with agile project management
Experience prototyping deployment tools such as web app development
Experience working with social media APIs and open source APIs
Responsibilities Develop machine learning and generative/agentic AI products through team collaboration




Analyze safety data to support inspection, certificate, audit, compliance, and enforcement activities
Build scalable machine learning and AI solutions, including retrieval-augmented generation and AI-assisted workflows
Design, evaluate, implement, and test machine learning models and generative/agentic AI solutions for production deployment
Work with multiple complex data sources, including social media APIs and open source APIs
Collaborate with Business Intelligence analysts on BI development projects
Identify new data sources and patterns that improve machine learning model performance
Our public sector client is seeking a Data Scientist to develop machine learning and generative/agentic AI solutions using Python, R, Spark, and cloud platforms
Join a Business Intelligence & Data Science team focused on improving safety oversight through data science and AI initiatives. This role supports the development, evaluation, and deployment of machine learning and generative/agentic AI solutions across inspection, compliance, and audit processes. The position works with complex data sources and cross-functional teams to deliver scalable analytics and AI products.



This contract opportunity provides critical coverage for an ongoing data science function within the organization.
Contract, Vancouver, Hybrid, Working Hours: PST
Must Haves Strong background applying machine learning techniques and generative AI solutions
Strong ability with Python and R
Fluency with Spark , relational SQL and NoSQL databases, and cloud platforms such as AWS or Azure
Experience building and optimizing data pipelines , architectures, and datasets
Master's Degree or above in Computer Science, Statistics, or Data Science
Nice to Have Experience with natural language processing, large language models, and/or computer vision
Experience with agile project management
Experience prototyping deployment tools such as web app development
Experience working with social media APIs and open source APIs
Responsibilities Develop machine learning and generative/agentic AI products through team collaboration
Analyze safety data to support inspection, certificate, audit, compliance, and enforcement activities
Build scalable machine learning and AI solutions, including retrieval-augmented generation and AI-assisted workflows
Design, evaluate, implement, and test machine learning models and generative/agentic AI solutions for production deployment
Work with multiple complex data sources, including social media APIs and open source APIs
Collaborate with Business Intelligence analysts on BI development projects
Identify new data sources and patterns that improve machine learning model performance

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📌 Our public sector client is seeking a Data Scientist to develop machine learning and generative/agen (British Columbia)
🏢 S.I. Systems
📍 British Columbia