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 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 in Vancouver employer: S.I. Systems Ltd.
Join a dynamic team in Toronto's vibrant financial services sector, where innovation meets collaboration. As a Senior Go Developer, you'll not only enhance your technical skills but also enjoy a supportive work culture that prioritizes mentorship and professional growth. With a hybrid work model and a focus on best practices, this role offers a unique opportunity to lead impactful projects while contributing to the evolution of payment applications.
