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Internship Data Scientist Risk Jobs in Calgary, AB

BBA's PAAM teamis an advanced multidisciplinary group of engineers, data scientists,economists ... risk-based asset management frameworks, root cause analysis, failure analysis and probabilistic ...

The Opportunity TC Energy is hiring Computer Science Interns in Calgary, AB to support a variety of ... Complemented by strategic ownership and low-risk investments in power generation, our ...

Collect and analyze real-world GNSS/INS data * Refine functional and performance requirements for ... Registered in the Computer Science or Engineering Internship/Co-op program and have completed at ...

Collect and analyze real-world GNSS/INS data * Refine functional and performance requirements for ... Registered in the Computer Science or Engineering Internship/Co-op program and have completed at ...

Delivery Engineer - Canada

Calgary, AB ยท On-site

CA$80K - CA$120K/yr

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall ... data technologies, or machine learning through coursework, internships, or project experience is a ...

Delivery Engineer - Canada

Calgary, AB ยท Remote

CA$80K - CA$120K/yr

DataVisor is the world's leading AI-powered Fraud and Risk Platform that delivers the best overall ... data technologies, or machine learning through coursework, internships, or project experience is a ...

Co-op and Internship positions may extend beyond the summer term depending on the requirements of ... Ability to collect, organize, and interpret scientific data and communicate findings clearly.

New

Co-op and Internship positions may extend beyond the summer term depending on the requirements of ... Ability to collect, organize, and interpret scientific data and communicate findings clearly.

By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by ... science, supply chain or business required, Master's degree is preferred * Coops / Internships in a ...

Showing results 41-60

Internship Data Scientist Risk information

What does an internship data scientist risk do?

An Internship Data Scientist Risk assists in analyzing data to identify, assess, and mitigate risks within an organization, often in fields like finance, insurance, or technology. They work with senior data scientists to build predictive models, analyze trends, and generate insights that support risk management strategies. Typical tasks include data cleaning, statistical analysis, and reporting findings to help the company make informed decisions. This internship provides hands-on experience with real-world data and risk scenarios, preparing interns for more advanced data science or risk analysis roles.

What types of projects can an internship data scientist risk expect to work on, and how do these contribute to the organization's goals?

Internship data scientists in risk typically work on projects such as developing predictive models to assess credit risk, analyzing transaction data to detect fraud, and generating insights to improve risk management strategies. These assignments often involve collaborating with experienced data scientists, risk analysts, and business teams to ensure that models are both accurate and actionable. By contributing to these projects, interns help the organization make informed decisions that minimize financial losses and ensure regulatory compliance. The hands-on experience not only builds technical skills but also provides valuable exposure to real-world challenges in the risk domain.

What are the key skills and qualifications needed to thrive as an internship data scientist risk, and why are they important?

To thrive as an Internship Data Scientist in Risk, you need a solid understanding of statistics, data analysis, and programming languages like Python or R, often supported by coursework in mathematics, data science, or a related field. Familiarity with machine learning libraries (e.g., scikit-learn), data visualization tools, and database management systems is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help distinguish candidates in this role. These skills are vital for accurately analyzing risk data, developing predictive models, and clearly presenting findings to support risk management decisions.

How much does an internship data scientist risk earn?

An internship data scientist risk typically earns between $15 and $25 per hour, depending on the company, location, and level of education. Internships often provide valuable experience in data analysis, programming, and risk assessment tools like Python or R. Compensation varies based on industry and whether the internship is paid or unpaid.
Infographic showing various Internship Data Scientist Risk job openings in Calgary, AB as of June 2026, with employment types broken down into 69% Full Time, 26% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Junior Advisor, Asset Analytics

Calgary, AB โ€ข On-site

Full-time

Re-posted 7 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...ย 

  • 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