Technical Solutions Engineer supporting EV charging solutions for customers and sales team at SWTCH. Collaborating with engineering and product teams while providing technical guidance and training.
R(
Data Scientist, Applied AI – Solutions Architect, Industrial & Operational Environments
Posted 2 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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