Specialist I TIS Data Scientist / ML Engineer

Posting End Date: September 25, 2026 Employee Type: Regular-Full time Union/Non: This is a non-union position At Enbridge, you can apply advanced technology to meaningful challenges while building a career in a workplace grounded in safety, innovation, and collaboration. As a Specialist I, TIS Data Scientist / ML Engineer, you will lead the development and delivery of advanced analytical solutions for complex business and operational challenges. Working closely with stakeholders, engineers, and subject-matter experts, you will shape problems into actionable solutions and guide initiatives from early discovery and proof of concept through production and ongoing enhancement. This is an opportunity to combine technical leadership with hands-on development, influence decisions through data, and advance responsible, scalable machine learning and AI solutions that make a meaningful impact. If you are ready to apply your data science and machine learning expertise to complex, meaningful challenges, we invite you to join Enbridge and help shape responsible, production-ready analytical solutions that create lasting impact. What You Will Do: Partner with business stakeholders, engineers, and subject-matter experts to define complex problems, solution requirements, and measurable success criteria. Assess data and technical feasibility, identifying critical dependencies, risks, integration needs, and opportunities early in the solution lifecycle. Plan and lead analytical initiatives from discovery and proof of concept through minimum viable product, production deployment, and ongoing enhancement. Design, develop, validate, and operationalize statistical, machine learning, simulation, and optimization solutions that align with business and operational needs. Apply strong software engineering, MLOps, and Responsible AI practices to create reproducible, maintainable, and supportable solutions. Provide technical direction while coordinating contributors, reviewing deliverables, and remaining actively involved in hands-on development. Communicate analytical findings, assumptions, limitations, and evidence-based recommendations in a way that supports informed decision-making. Who You Are: You have a degree in computer science, engineering, mathematics, statistics, operations research, data science, or a related quantitative discipline. You bring six or more years of related experience, including significant hands-on experience delivering data science or machine learning solutions in business or operational environments. You have strong knowledge of statistics, machine learning, model validation, uncertainty assessment, and analytical interpretation. You are proficient in Python and SQL and have experience using established data science and machine learning libraries. You have hands-on experience with Databricks or a comparable enterprise platform, including Spark or PySpark, MLflow, and production-focused machine learning development. You have experience engineering, deploying, and managing reliable analytical solutions throughout their lifecycle, from discovery and experimentation through production and continuous improvement. You are skilled at learning complex subject areas, guiding multidisciplinary contributors, influencing technical decisions, and communicating recommendations clearly to technical and non-technical audiences. Able to travel throughout North America (US and Canada) for business purposes. Valid passport is required. Preferred: Forecasting, anomaly detection, predictive maintenance, optimization, simulation, physics-informed machine learning, computer vision, natural language processing, or generative AI. Midstream operations, pipelines, hydraulic modelling, industrial operations, asset management, or another physical asset-intensive environment. Working with operational time-series data from SCADA, historians, sensors, or IoT systems. Combining engineering or physical-system knowledge with statistical or machine learning techniques. Providing technical guidance or mentorship within multidisciplinary delivery teams. Working Conditions: This role involves collaborative work with business stakeholders, engineers, subject-matter experts, and multidisciplinary technical teams. You will balance technical leadership, delivery coordination, stakeholder engagement, and hands-on solution development. The role requires working across iterative delivery stages, including discovery, proof of concept, minimum viable product, production, and ongoing enhancement. Physical Requirements include but are not limited to: Grasping, kneeling, light – moderate lifting (objects up to 20 pounds), reaching above shoulder, repetitive motion, typing, sitting, standing, visual requirement (able to see screens, detect color coding, read fine print), hearing requirement and the ability to sit at a computer for long periods of time. Mental Requirements (Both Field & Office) include but are not limited to: Ability to: understand, remember and apply oral and/or written instructions or other information, understand complex problems and collaborate/explore alternative solutions, organize thoughts and ideas into understandable terminology, organize and prioritize work schedule on a short-term basis, make decisions which have moderate impact on the immediate work unit and monitor impact outside this area, understand and follow basic instructions and guidelines, complete routine forms, compose letters, outlines, memoranda and basic reports and communicate with individuals via telephone. Base Salary: Base salary ranges from $96,200 – $130,000 USD for US locations based upon candidate’s experience, skills, and internal equity. Applicable compensation policies and guidelines apply to internal candidates. Benefits: A flexible benefits program that allows each employee to select the level of coverage needed for their family in the areas of health, dental, insurance, and disability. A paid parenthood leave benefit that offers up to 20 weeks of paid leave for birth-giving parents and up to 12 weeks for other eligible parents, providing flexibility and support during this important life event. Valuable retirement savings plans, including a savings plan with company stock as an investment option. Paid time off/vacation/sick, plus paid personal days off (depending on location), and paid holidays. An Employee and Family Assistance Program. A Wellness Program, which focuses on supporting healthier employees by providing tools, resources, and opportunities to improve physical, mental, social, and financial well-being. Enbridge’s FlexWork (hybrid work model) offers eligible employees (Manager and below) the option to work from home on Wednesdays and Fridays, opt for a compressed work week schedule, or have flexible start and end times. Role requirements determine your eligibility for each option. #LI-Hybrid At Enbridge, we are dedicated to our core value of Inclusion. We are proud to be an Equal Opportunity Employer. We are committed to providing employment opportunities to all qualified individuals, without regard to age, race, color, national or ethnic origin, religion, sex, sexual orientation, gender identity or expression, marital status, family status, veteran status, Indigenous status, disability, or any other reason protected by federal, state, or local law. Applicants with disabilities can request accessible formats, communication supports, or other accessibility assistance by contacting [email protected]. Information For Applicants: Applications can be submitted via our online recruiting system only. We appreciate your interest in working with us; however, only those applicants selected for interviews will be contacted. Final candidates for this position may be required to undergo a security screening, including a criminal records check. To learn more about us, visit www.enbridge.com

You will lead the development and delivery of advanced analytical and machine learning solutions to address complex business and operational challenges. This involves partnering with stakeholders to define requirements, operationalizing models, and guiding initiatives from discovery through production.

Candidates must hold a degree in a quantitative discipline and possess six or more years of experience in data science or machine learning. Proficiency in Python, SQL, and enterprise platforms like Databricks is required, along with strong communication and leadership skills.

• Health insurance • Dental insurance • Disability insurance • Paid parenthood leave • Retirement savings plans • Paid time off • Paid holidays • Employee and family assistance program • Wellness program • Hybrid work model

• SQLPreferred
• Machine learningPreferred
• Stakeholder ManagementPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Data science
• Machine learning
• Python
• SQL
• Databricks
• Spark
• PySpark
• MLflow
• MLOps
• Statistical modeling
• Predictive maintenance
• Anomaly detection
• Optimization
• Simulation
• Technical leadership
• Stakeholder management
• Influencing Skills
• Responsible AI
• Pipelines
• MLOps (Machine Learning Operations)
• Generative Artificial Intelligence
• Influencing Without Authority
• Minimum Viable Product
• Time Off Management
• Advanced Analytics
• Sensors
• Technical Leadership
• Operations Research
• Artificial Intelligence
• Anomaly Detection
• Computer Vision
• Asset Management
• Decision Making
• Communication
• Computer Science
• Continuous Improvement Process
• Equities
• Forecasting
• Supervisory Control And Data Acquisition (SCADA)
• Scalability
• Hydraulics
• Innovation
• Python (Programming Language)
• Machine Learning
• Mathematics
• Memos
• Mentorship
• Natural Language Processing (NLP)
• Operations
• Physics

• Data & Analytics
• Technology
• Software
• Energy
• Engineering
• Machine Learning Data Scientist
• Generative Artificial Intelligence Engineer
• Software Developers
• Computer and Information Research Scientists

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Apply by

Sep 26, 2026

Posting language

English

Working hours

40 hours per week

Office presence

3 days per week