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Python Data Scientist Jobs in Alberta (NOW HIRING)

... Python and SQL. * Support endtoend delivery of AI and advanced analytics solutions, from initial PoC through deployment and ongoing sustainment. * Collaborate with data scientists, ML engineers, and ...

Bachelor's degree in computer science, information technology, or a related field. * Proficiency in SQL, competency in Python, Power BI, and experience in data modeling and processing techniques.

This individual will combine strong business acumen with hands-on technical expertise in Python and ... Data Science, or a related field * Experience in Canadian and U.S. crude and refined products ...

Collaborate with cross-functional teams including data scientists, engineers, business analysts ... Proficient in SQL and Python (e.g. PySpark, Pandas) * Expertise in defining, managing, and ...

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Key Responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines using Python and ... scientists, and business stakeholders to deliver data solutions Maintain proper documentation for ...

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Python Data Scientist information

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How much do python data scientist jobs pay per year?

As of Jun 11, 2026, the average yearly pay for python data scientist in Alberta is $126,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,000.00 and $159,000.00 per year, depending on experience, location, and employer.

What does a data scientist do with Python?

A data scientist uses Python to analyze data, build models, and create visualizations. They often utilize libraries like pandas, scikit-learn, and TensorFlow to extract insights and develop predictive algorithms, making Python a key tool in their workflow.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

What are some common challenges faced by Python Data Scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000.

What is a Python Data Scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

What are the key skills and qualifications needed to thrive as a Python Data Scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.
What are popular job titles related to Python Data Scientist jobs in Alberta? For Python Data Scientist jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in Alberta look for? The top searched job categories for Python Data Scientist jobs in Alberta are:
Infographic showing various Python Data Scientist job openings in Alberta as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $126,959 per year, or $61 per hour.

Analyst, Capital Governance & Data Management

EPCOR

Edmonton, AB • On-site

CA$54.92/hr

Full-time

Posted 14 days ago


Job description

Highlights of the job

EPCOR Water Services is hiring a full-time permanent Analyst, Capital Governance & Data Management to join our Finance & Planning team. This position is based at our Rossdale Water Treatment Plantsite in Edmonton, Alberta.

The Analyst, Capital Governance & Data Management is accountable for collecting and organizing data and developing efficient models, templates, and tools used by CGR and Capital teams for KPI reporting and decision making. The role maintains and leverages these tools to support EWS' capital performance, budget development, forecasting, variance reporting, and capital program decision making, including lifecycle cost and alternative analyses, while providing project and portfolio-level analysis of budgets, forecasts, and cash flows.

We welcome applications from both internal and external candidates. EPCOR employees should apply using their "epcor.com" email address to ensure proper consideration of internal seniority.

What you'd be responsible for

In the role of Analyst, Capital Governance & Data Management, you are accountable to the Manager, Capital Governance & Data Management and will have the following key accountabilities (but are not limited to these):

  • Provide input into CGR plans and direction, supporting capital planning, project reporting, regulatory support, and budget development, while maintaining strong alignment with project management processes and cross-functional relationships.
  • Develop and maintain tools, templates, and models to analyze EPCOR Water Services capital data, enabling efficient data analysis and informed decision making. Provide support and training to ensure accurate and consistent use across Capital teams.
  • Continuously improve CGR processes, procedures, templates, standards, and tools aligned with corporate policies, while effectively communicating requirements to stakeholders including Project Management Office, One Water Planning, and Finance.
  • Analyze capital data to inform decision making and support monthly, quarterly, and annual reporting, ensuring accuracy, readability, and coordination of EPCOR Water Services Leadership review prior to publication.
  • Maintain EWS capital project information systems (Oracle Projects, CAPEX Dashboard, SharePoint), including recording, monitoring, forecasting, and budgeting of project data.
  • Support the Manager, Capital Governance & Data Management in delivering the annual capital budget and long-term plans, including maintaining templates, reports, training, and stakeholder engagement.
  • Demonstrate a high performance, high discipline, safe, accountable, and results-oriented approach to work.
  • Contribute to capital budget modelling and analysis, assist with research requests, and support project work as assigned.

What's required to be successful

Qualifications, experience and behaviours you possess are:

  • Completed diploma or degree in Data Analytics, Data Science, Computer Science, Business, Economics, Engineering, Accounting or related discipline is required.
  • Minimum of 7 years of directly related experience in a combination of:
  • Technical experience with data analytics or data science applications and techniques
  • Technical experience with databases and data lakes including data relationship building
  • Experience using Power BI for data analytics, reporting and visualization
  • Strong ability to learn and leverage new technologies and systems for data and financial analysis
  • Experience in project management, accounting, and project lifecycle delivery is considered an asset
  • Strong knowledge of data analytics, data management, and relational database concepts, with expertise in data modelling, visualization, and governance
  • Proficiency in SQL, Python, R, Power BI (DAX), and Microsoft tools (Power BI, Excel, SharePoint) to develop dashboards, analytical models, and data-driven insights
  • Experience with ERP/financial systems (e.g., Oracle Projects, Oracle BI) and cloud platforms (e.g., Azure Databricks) is a strong asset
  • Strong analytical, research, and problem-solving skills, with experience conducting quality assurance and delivering solutions to complex issues
  • Skilled in process improvement, process mapping, and developing training and documentation
  • Innovative, detail-oriented, and results-driven, with strong planning, organization, and time management skills
  • Effective communicator with the ability to present insights and collaborate across all levels of the organization
  • Ability to work both independently and as part of a team

Other important facts about this job

Jurisdiction: CSU52

Class: T3

Hours of work: 80 hour bi-weekly

Starting Wage: $54.92

  • Final Wage and Step will be determined at the time of selection and based on a combination of factors as outlined in the Collective Agreement.

Flexibility at Work: The Where We Work Program

At EPCOR, we recognize that every team member brings unique perspectives, needs, and working styles. We believe that embracing this diversity makes EPCOR a great place to work.

Our Where We Work Program is designed to support a more flexible, inclusive, and rewarding work environment. It empowers employees to work in ways that best suit their individual needs while supporting team collaboration and performance.

For this role, the successful candidate may be eligible to participate in the hybrid Where We Work Program after completing 3 to 6 months in the position and meeting the program's eligibility criteria.

Learn more about Working at EPCOR!

Follow us on LinkedIn,X, Glassdooror Facebook!

Please note the following information:

  • A requirement of working for EPCOR is that you are at least 18 years of age, successfully attained a high school diploma (GED, or equivalent level of secondary education) and legally entitled to work in Canada. (A copy of a valid work permit may be required.)
  • If you are considered for the position, clearance on all applicable background checks (which may include criminal, identity, educational, and/or credit) and professional reference checks is required. Some EPCOR positions require an enhanced level of background assessment, which is dictated by law. These positions require advanced criminal record checks that must also be conducted from time to time after commencement of employment.
  • A technical/practical assessment may be administered during the selection process and this exercise will be used as a part of the selection criterion.
  • To meet the physical demands required of some positions, candidates must be in good physical condition and willing to work in all weather conditions. Clearance on pre-placement medical and drug and alcohol testing may be required.
  • Prior infractions for unsafe driving behaviours will be evaluated and considered for non-selection regardless of current demerits on file.
  • If you are required to provide your own personal reliable vehicle - Successful applicants must provide their own vehicles with appropriate insurance in accordance with EPCOR's Employee Mileage Reimbursement Policy. You will be reimbursed in accordance with EPCOR's Employee Mileage Reimbursement Policy.
  • The results of this competition may be used to fill similar vacant positions for up to six (6) months.
Employment Type: Permanent Full Time