AI Solution Architect designing Azure - based agentic and machine learning solutions for a Canadian financial institution. Translating business requirements into secure, scalable cloud architectures.
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Data Scientist, Applied AI – Solutions Architect, Industrial & Operational Environments
Posted 5 months ago
About the role
- Data Scientist at RLG designing and deploying AI-driven solutions for operational environments. Collaborating with clients to transform complex data into actionable insights in Vancouver.
Responsibilities
- Design and deploy fit-for-purpose AI and data systems that ingest and structure complex client datasets
- Develop custom machine learning models and practical AI agents, including workflow automation tools, copilots, and decision support systems
- Build automated data pipelines and interactive dashboards such as Power BI and Streamlit that enable clear, data-driven decision-making
- Translate complex data into clear, actionable insights, focusing on what to do next
- Act as a trusted advisor in preparation for client engagement, communicating technical concepts in plain language to executive stakeholders
- Partner with clients to identify high-impact opportunities where AI can accelerate operational and business performance
- Support and help build internal AI capabilities and contribute to the AI roadmap
- Use data to inform internal business performance, identifying trends, risks, and growth opportunities
Requirements
- 5 years of relevant experience in data science, analytics, or applied AI, with exceptional early career candidates considered
- A Bachelor's degree in a relevant field, with advanced degrees as an asset
- Strong programming capability in Python with JavaScript as an asset
- Experience or strong interest in AI and machine learning, including agentic systems, workflow automation, NLP, or predictive analytics
- Proficiency in SQL and experience building scalable data pipelines such as Airflow, Snowflake, or cloud native tools
- Experience creating clear, executive-level data visualizations
- Experience applying data, analytics, or AI solutions in industrial, operational, or asset-intensive environments such as oil and gas, manufacturing, logistics, or infrastructure
- Ability to translate data into business decisions and operational impact.
Benefits
- Competitive compensation aligned to experience and impact
- Opportunity to build and shape AI capabilities from the ground up
- Direct exposure to senior leadership and strategic decision-making
- A variety of projects across industrial sectors and functions, offering continuous learning and challenge
- A collaborative, entrepreneurial environment where your work directly influences outcomes
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