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 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 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 chance 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

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