1

Energy Data Science Jobs in Alberta (NOW HIRING)

By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a ...

By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a ...

Support a multidisciplinary team of data scientists, financial analysts, engineers, and developers in producing GIS data used in client-facing energy research. * Assist in gathering, organizing, and ...

Showing results 21-40

Energy Data Science information

What is energy data science?

Energy data science is a specialized field that involves analyzing large datasets related to energy production, consumption, and infrastructure to optimize efficiency and inform decision-making. Professionals in this field often use statistical methods, machine learning, and data visualization tools to identify patterns and improve energy systems. Strong skills in programming, data analysis, and domain knowledge of energy systems are essential for this role.

What is the difference between Energy Data Science vs Energy Analyst?

AspectEnergy Data ScientistEnergy Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RDegree in Energy, Economics, or related field; strong analytical skills
Work EnvironmentData-driven projects, modeling, and algorithm development in tech or energy companiesData analysis, reporting, and market assessment in energy firms or utilities
Employer & Industry UsageTech companies, energy firms focusing on data modeling and predictive analyticsUtilities, energy consulting, and market analysis firms

Energy Data Scientists focus on developing models and algorithms to analyze energy data, while Energy Analysts interpret data to inform business decisions. Both roles require analytical skills, but Data Scientists emphasize programming and modeling, whereas Analysts focus on reporting and market insights.

What job categories do people searching Energy Data Science jobs in Alberta look for? The top searched job categories for Energy Data Science jobs in Alberta are:
Infographic showing various Energy Data Science job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Advisor, Load Forecasting & Power Advisory

BBA, Inc.

Edmonton, AB

Full-time

Re-posted 2 days ago


Job description

An overviewof your future role

BBAis a national, employee-owned, multi-disciplinary engineering and services firmwith offices coast to coast, in the U.S. and abroad. We have an establishedPower and Renewables business line which comprises Power Advisory and AssetManagement (PAAM), Transmission and Distribution (T&D), Wind and Solar,Storage, Hydropower and Industrial Power groups. We want to strengthen ourposition in the PAAM group and Power Markets segment across North America.

As the Senior Advisor,Power Advisory and Load Forecasting, you'll be responsible for driving loadforecasting and power advisory services and products, as well as building andmaintaining client relationships. You'll also lead and continue to develop our loadforecasting services within the North American power utility market. You'llleverage your expertise, industry knowledge, client relationships andengineering/data science experience to achieve our objectives. Additionally,this role will include the opportunity to work on other power advisory projectswithin the generation and transmission market segments.

With us, you'll get the opportunity to... 
  • Lead the PAAM group in load forecasting, power advisory, SME support and continual improvement projects, initially focused on the utility sector, including the ability to develop tools that account for energy transition trends and triggers (e.g., EV/DER penetration, data centres)
  • Develop models/tools to assist in the analysis of condition, forecasting and investment scenarios
  • Develop models and frameworks for electricity planning in the context of generation projects and the bulk system
  • Support the PAAM group in client business development, client engagement methodology development, work scheduling and workload balancing
  • Mentor junior staff and help develop training materials while carrying out formal and informal staff education, training and mentorships
  • Lead projects within the PAAM team, including managing resources, schedules, budgets and client expectations
  • Deliver on assigned marketing and sales of services within the business line
  • Contribute to the overall PAAM group strategic plan and key initiatives
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