Posted:
10/2/2024, 8:17:02 AM
Location(s):
Christchurch, Canterbury, New Zealand ⋅ Canterbury, New Zealand
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Posting End Date:
October 08, 2024Employee Type:
Regular-Full timeUnion/Non:
This is a non-union positionNumber of positions - 2
We are seeking two highly motivated and upbeat Corrosion Prevention Engineers-in-Training / Data Analysts to join our team.
The ideal candidate will be responsible for helping develop and use pioneering systems and technologies, support and implement Artificial Intelligence & Machine Learning for collecting, analyzing, and interpreting data related to corrosion prevention and control for underground or buried metallic pipelines.
This role requires a solid background in database configuration, structure & management, data analysis techniques, statistical methods, and sound engineering principles.
Enbridge is progressive, offers flexibility, opportunities for growth, work life balance, competitive benefits, pension plan, and generous time off. Apply today, we'd love to hear from you!
Perform data extraction, transformation, and load to ensure data quality and accuracy. Collect and analyze large datasets from various sources to identify trends, patterns, and insights.
Develop and implement data models, algorithms, and statistical methods to solve corrosion-related problems. Apply Artificial Intelligence & Machine Learning techniques to build descriptive & predictive models.
Create and maintain dashboards, reports, and visualizations to communicate findings to customers. Collaborate with multi-functional teams to understand business requirements and provide data-driven solutions.
Present findings and recommendations to Specialist and other stakeholders in a clear and concise manner. Model impressed current cathodic protection, corrosion activity and fluid dynamics using engineering software.
Create and automate corrosion-related process flow to improve consistency and efficiency. Support development of corrosion-related applications & systems
You possess a Bachelor’s in data science, Statistics, Engineering, or a related field.
Proven experience as a Data Scientist or Data Analyst, preferably in the field of corrosion engineering. Proficiency in programming languages such as Python, R, or SQL.
Solid understanding of statistical analysis, data modelling, and machine learning techniques. Strong knowledge & experience with spatial data analysis methodologies
Experience with data visualization tools such as Power BI, or Tableau
Preference for a candidate with Post Graduation; experience in corrosion engineering principles and practices. (AMPP) Experience with Power Apps, Power Automate and SharePoint. Proficiency in engineering software, Abaqus or COMSOL Multiphysics. Knowledge of technologies (such as Hadoop, TensorFlow, Spark, or similar). Experience with an ETL tool (e.g., FME)
The successful candidate (if external) will go through background checks including criminal check, education and employment verification.
Include but are not limited to: Grasping, kneeling, light - moderate lifting (objects up to 20 pounds), reaching above shoulder, repetitive motion, sitting, standing, visual requirement (able to see screens, detect color coding, read fine print), hearing requirement.
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, prioritize thoughts and ideas into understandable terminology, coordinate 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.
Diversity and inclusion are important to us. Enbridge is an Equal Opportunity and Affirmative Action 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/Native American status, or disability. Applicants with disabilities can request accessible formats, communication supports, or other accessibility assistance by contacting [email protected].
Information For Applicants:
To learn more about us, visit www.enbridge.com
Website: https://spectraenergy.com/
Headquarter Location: Houston, Texas, United States
Employee Count: 5001-10000
Year Founded: 2006
IPO Status: Public
Industries: Energy ⋅ Natural Resources ⋅ Oil and Gas