... assessment and monitoring, risk-based asset management frameworks, root cause analysis, failure analysis and probabilistic analytics * Support the delivery of top-down and bottom-up load forecasting ...
... assessment and monitoring, risk-based asset management frameworks, root cause analysis, failure analysis and probabilistic analytics * Support the delivery of top-down and bottom-up load forecasting ...
... assessment and monitoring, risk-based asset management frameworks, root cause analysis, failure analysis and probabilistic analytics * Support the delivery of top-down and bottom-up load forecasting ...
... assessment and monitoring, risk-based asset management frameworks, root cause analysis, failure analysis and probabilistic analytics * Support the delivery of top-down and bottom-up load forecasting ...
... materiality assessments, and external presentations. * Building relationships with clients ... Supporting PCL's climate risk and emissions reporting regulatory requirements. * Researching and ...
... materiality assessments, and external presentations. * Building relationships with clients ... Supporting PCL's climate risk and emissions reporting regulatory requirements. * Researching and ...
Internship Probabilistic Risk Assessment information
What is the difference between Internship Probabilistic Risk Assessment vs Probabilistic Risk Assessment?
| Aspect | Internship Probabilistic Risk Assessment | Probabilistic Risk Assessment |
|---|---|---|
| Credentials | Typically students or entry-level professionals with basic knowledge | Professionals with specialized certifications or advanced degrees |
| Work Environment | Internship settings, training programs, or entry-level projects | Full-time roles in engineering, safety, or risk analysis teams |
| Industry Usage | Educational and training purposes, entry-level exposure | Operational risk assessments in industries like nuclear, oil & gas, or aerospace |
Internship Probabilistic Risk Assessment is an entry-level, training-focused role for students or new professionals, often part-time or temporary. Probabilistic Risk Assessment is a professional, full-time role involving detailed risk analysis in high-stakes industries. The internship provides foundational experience, while the full role involves advanced analysis and decision-making.
What is an Internship in Probabilistic Risk Assessment?
An Internship in Probabilistic Risk Assessment (PRA) is a temporary position where students or recent graduates gain hands-on experience analyzing and quantifying risks associated with complex systems, often in industries like nuclear energy, aerospace, or engineering. Interns typically assist in developing mathematical models, performing simulations, and interpreting data to identify potential hazards and their likelihood. This role helps interns build practical skills in risk analysis, data interpretation, and technical communication under the guidance of experienced professionals.
What are some typical projects or tasks an intern in Probabilistic Risk Assessment can expect to work on?
As an intern in Probabilistic Risk Assessment, you can expect to be involved in tasks such as data collection and analysis, developing risk models, and assisting senior analysts in evaluating the likelihood and impact of various risk scenarios. You may also help prepare reports or presentations that communicate risk findings to other teams. Collaboration with engineers, data scientists, and subject matter experts is common, as risk assessment often draws on diverse expertise to ensure accurate modeling and interpretation. This hands-on experience provides valuable insight into both the technical and communicative aspects of risk assessment in a professional setting.
What are the key skills and qualifications needed to thrive as an Internship Probabilistic Risk Assessment, and why are they important?
To thrive as an Internship Probabilistic Risk Assessment, you need a solid background in mathematics, statistics, and engineering principles, often supported by coursework in risk analysis or reliability engineering. Familiarity with risk assessment software (such as SAPHIRE, RiskSpectrum, or CAFTA), statistical programming languages like Python or R, and relevant data analysis tools is typically expected. Strong analytical thinking, attention to detail, and effective communication help interns interpret complex data and convey findings clearly to multidisciplinary teams. These skills are essential for accurately identifying potential risks and contributing to safety and decision-making processes in technical industries.
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Posted 20 days ago
Job description
An overviewof your future role
BBA is a leading North American consulting firm that provides a broadrange of services, including engineering and design, digital power systems,in-field testing, analysis and commissioning, asset management and analyticsand advisory services.
BBA has a new opportunity for a Junior Advisoras part of our Power Advisory and Asset Management (PAAM) team. BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists, mathematicians, statisticians, policy-makers and advisors who arecollectively building the next generation of decision-making analytics andplatforms to help organizations make their asset infrastructure more resilientin the face of extreme weather, growing capacity needs and the integration ofnew technologies (e.g., electric vehicles, renewables, data centres). Our worksupports a variety of organizations, including electric GT&D utilities,independent power producers and commercial customers, to avoid potential risksby taking the right actions, with the right assets, at the right time.
This new opportunity will involve a wide rangeof challenging projects in the utility and power sector, along with exposure tothe mining and industrial sectors.
With us, you'll get the opportunity to...
- Help deliver decision-making asset analytics, including advanced asset condition assessment and monitoring, risk-based asset management frameworks, root cause analysis, failure analysis and probabilistic analytics
- Support the delivery of top-down and bottom-up load forecasting for power utilities, large industrial customers and independent power producers
- Develop asset analytics dashboards, visualizations, digital twins and geospatial visual environments to convey key decision-making messages to asset players
- Support the development of key performance indicators, metrics and measures to enhance productivity, operations and risk management
- Support the delivery of regulatory reporting deliverables, including long-term and short-term capital and maintenance investment plans as part of electricity rate filing applications
- Support the development of business case evaluation (BCE) frameworks to justify and prioritize key investments
- Perform end-to-end data analytics, including data collection, transformation, analysis, and visualization
- Support the development of new decision-making technologies leveraging advanced machine learning, deep learning and artificial intelligence techniques
- Engage in hands-on consulting work, including data analysis, research, stakeholder interviews and preparation of final deliverables
- Delivery of engagement and contribution (E&C) programs to present key findings from major projects as part of knowledge sharing, client engagement and networking activities
Do your qualities and values match ourcorporate culture?
- Autonomous
- Aptitude for self-development
- Results-driven
- Excellent communication and soft skills
- Attention to detail
- Strong organizational skills
- Thirst to learn and excel
- Rigorous and ethical
- Caring mindset that puts people first