Business Data & AI Specialist (Calgary, AB) Hybrid

• 1-Year Contract
• Hybrid: In-Office (Monday Tuesday & Thursday) Remote (Wednesday & Friday)
• Location: 200 425 - 1st Street SW Calgary AB T2P 3L8

At Enbridge our goal is to be the first-choice energy delivery company in North America and beyondfor customers communities investors regulators and policymakers and employees.

To meet that goal Enbridge is partnering with Raisea leading recruitment firm that specializes in IT Technical and Engineering staffing.

Together Raise and Enbridge are building teams that are rising to meet the growing energy needs of North America. If youre looking for a challenging role that will make the most of your skills while allowing you to make an impact this is it.

Enbridge is hiring a Business Data & AI Specialist right nowwhen you apply Raise will review your application within 48 hours and contact qualified applicants for interviews.

Job Overview:

• GTM D&SS is seeking a Business Data & AI Specialist to support the Gas Transmission business by delivering advanced data science AI/ML and automation solutions. This role focuses on solving real operational challengesenhancing reliability ensuring compliance optimizing asset management and improving decision-making.
• Embedded within the D&SS team the successful candidate will work closely with cross-functional stakeholders including operations engineering integrity records and asset management. The role requires a balance of strong technical expertise and business acumen to translate complex operational needs into practical scalable and auditable data-driven solutions.

Key Responsibilities:

• Partner with stakeholders across operations engineering reliability records and asset management to identify and prioritize data and AI opportunities
• Translate business challenges and operational pain points into structured analytics and modeling problems
• Ensure solutions are aligned with operational realities regulatory requirements and business objectives
• Acquire cleanse transform and validate structured and unstructured data from multiple sources
• Conduct exploratory data analysis to identify trends anomalies risks and optimization opportunities
• Ensure data quality and integrity to support reliable insights
• Design develop validate and optimize machine learning models (e.g. classification regression clustering NLP) tailored to business use cases
• Develop Generative AI and Agentic AI solutions including prompt engineering and workflow automation
• Apply appropriate evaluation techniques and document assumptions limitations and performance metrics
• Deliver reproducible well-documented analyses and models
• Clearly communicate insights recommendations and limitations to both technical and non-technical audiences
• Create intuitive dashboards and visualizations that support operational and strategic decision-making
• Support model deployment and operationalization in collaboration with D&SS and TIS teams
• Apply foundational MLOps practices including monitoring model inputs outputs and performance over time
• Ensure solutions remain reliable scalable and maintainable in production environments
• Prepare and maintain comprehensive documentation to support knowledge transfer auditability and compliance
• Ensure adherence to coding standards data governance and security best practices
• Contribute clean well-structured Python code within shared repositories (Git)
• Identify opportunities to enhance existing analytics and AI solutions within the business
• Stay current on emerging data science machine learning and AI advancements relevant to operational contexts
• Promote the adoption of best practices and innovative approaches across teams

Qualifications:

• Bachelors degree in Data Science Computer Science Engineering Statistics Mathematics or a related field
• 68 years of experience applying data analytics machine learning and AI to solve business or operational problems
• Proven ability to translate business needs into actionable data-driven solutions
• Strong proficiency in Python and common data science libraries (e.g. Pandas NumPy Scikit-learn)
• Solid understanding of applied machine learning techniques and statistical methods
• Experience with data preparation feature engineering and model evaluation
• Familiarity with version control systems (Git) and collaborative development practices
• Strong analytical thinking and problem-solving skills
• Excellent communication skills with the ability to present complex insights clearly and concisely
• Demonstrated ability to collaborate cross-functionally beyond technical teams
• Ability to work independently while managing priorities within defined scope
• Strong attention to detail and commitment to delivering high-quality reliable solutions

Preferred Skills

• Experience with Generative AI Large Language Models (LLMs) or agent-based systems
• Exposure to MLOps frameworks or model deployment pipelines
• Experience working in asset-intensive or regulated industries (e.g. utilities energy infrastructure)

Please note: Successful applicants will be employees of Raise working at Enbridge facilities with both Enbridge and contract employees.

Applying with Raise

Raise is an established IT and engineering hiring firm with over 60 years experience connecting talented candidates with meaningful work. When you apply youll get more than just a chance at a great jobyoull become part of a vast network of employers that are always changing.

We value diversity and inclusion and encourage all qualified people to apply. If we can make this easier through accommodation in the recruitment process please contact us at1 or

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