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Internship Data Science Analytics Jobs in Edmonton, AB

... data analytics, model development, risk programming and presentation to senior management ... Science and Data Science. * Completion or progression in CFA and/or FRM would be an asset.

... data analytics, model development, risk programming and presentation to senior management ... Science. Completion or progression in CFA and/or FRM would be an asset. Completion of SAS ...

... Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

... Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent practical experience. * Excellent communication skills, strong ownership, customer focus, analytical ...

Participate in CI/CD pipeline development and deployment activities for data pipelines, analytics ... Bachelor's degree in Computer Engineering, Computer Science, or a related field Join our team and ...

Bachelor's degree in mathematics, actuarial science, computer science or finance * Minimum of 5 years experience in the data conversion analysis field * Fluency in English and French (written and ...

Showing results 21-40

Internship Data Science Analytics information

What is the difference between Internship Data Science Analytics vs Data Analyst Intern?

AspectInternship Data Science AnalyticsData Analyst Intern
Required CredentialsBasic knowledge of statistics, programming (Python/R), and data toolsSimilar skills, often with coursework in statistics or data analysis
Work EnvironmentHands-on projects, collaborative teams, tech-focused companiesData collection, cleaning, visualization tasks in various industries
Employer & Industry UsageTech firms, finance, healthcare, consultingRetail, marketing, finance, tech

Internship Data Science Analytics and Data Analyst Intern roles share similar skills and work environments, focusing on data handling and analysis. The main difference lies in scope: Data Science Analytics internships often involve more advanced statistical modeling and machine learning, while Data Analyst Intern roles emphasize data visualization and reporting. Both serve as entry points into data careers, with overlapping skills but different focus areas.

Infographic showing various Internship Data Science Analytics job openings in Edmonton, AB as of July 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 82% In-person, and 18% Hybrid job distribution.

Project Manager, Load Forecasting & Asset Analytics

BBA, Inc.

Edmonton, AB

Other

Re-posted yesterday


Job description

An overviewof your future role

BBA is a national, employee-owned, multi-disciplinary engineeringand services firm with offices coast to coast, in the U.S. and abroad. We havean established Power and Renewables business line, which comprises PowerAdvisory and Asset Management (PAAM), Transmission and Distribution (T&D),Wind and Solar, Storage, Hydropower and Industrial Power groups. We want tostrengthen our position in the PAAM group and Power Markets segment acrossCanada. As Project Manager, you'll be responsible for delivering load forecastingand asset analytics projects in the North American power utility market. You'llleverage your expertise, industry knowledge, client relationships andengineering/data science experience to achieve our objectives. This role is agreat position for being at the forefront of helping our clients meet thechallenges of the energy transition.

You'll deliver asset condition assessment and asset analyticsprojects for utility clients. This role provides structured project governance,commercial oversight and stakeholder coordination across multidisciplinaryteams, enabling technical consultants to focus on delivering high-qualityanalytical outputs.

Unlike technical project leads, project managers are accountablefor end-to-end project performance, including schedule, budget, risk and clientengagement across multiple workstreams.

With us, you'll get the opportunity to... 

Project governance and delivery oversight

  • Establish and manage overall project governance structures and reporting cadences
  • Develop integrated project plans covering:
    • Data acquisition
    • Asset inspections (if applicable)
    • Analytics/modelling phases
    • Reporting and recommendations
  • Coordinate across multiple workstreams led by technical consultants
  • Ensure alignment between technical delivery and contractual scope

Schedule and resource management

  • Build and maintain detailed schedules across analytics, engineering, and client activities
  • Coordinate resource allocation across:
    • Asset analytics teams
    • Engineering SMEs
    • Data specialists
  • Identify bottlenecks (e.g., data availability, SME constraints) and proactively resolve them
  • Ensure workload balancing across concurrent projects

Budget and commercial management

  • Own project financials, including:
    • Budget tracking and forecasting
    • Burn rate monitoring
    • Margin protection
  • Manage scope changes, variations and contract adjustments
  • Support invoicing and revenue recognition milestones

Stakeholder and client management

  • Serve as the primary non-technical point of contact for client stakeholders
  • Structure and lead:
  • Steering committee meetings
  • Status updates
  • Risk/issue discussions
  • Ensure alignment between client expectations and technical outputs
  • Support consultants in translating complex analytics into decision-ready messaging

Risk, issue and dependency management

  • Maintain and actively manage:
    • Risk registers
    • Issue logs
    • Dependency tracking (especially data and client inputs)
  • Anticipate risks specific to asset analytics projects:
    • Data quality/availability issues
    • Model validation delays
    • Regulatory or stakeholder review cycles
  • Lead mitigation planning and escalation when needed

Integration with technical teams

  • Work closely with consultants/advisors leading asset analytics to:
    • Align timelines with modelling and analysis cycles
    • Ensure clarity of deliverables and milestones
    • Avoid overloading technical resources with admin overhead

Quality and deliverables coordination

  • Ensure consistency and completeness of deliverables across workstreams
  • Coordinate internal reviews before client submissions
  • Enforce adherence to delivery standards and templates
  • Support development of repeatable delivery models for asset analytics projects

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