WCB-Alberta Logo

WCB-Alberta

Data Scientist

Posted Yesterday
Be an Early Applicant
In-Office
2 Locations
Junior
In-Office
2 Locations
Junior
The Data Scientist will analyze data, develop machine learning models, and provide insights for strategic decision-making in a collaborative environment.
The summary above was generated by AI

As an equal opportunity employer, we are looking to build a diverse workforce that reflects the diversity of our clients and the customers we serve. Learn more about working for WCB at Careers - WCB Alberta

Job Title:

Data Scientist

Job Type:

Permanent / Full time

Job Location:

Edmonton, Alberta

Data Scientist
Machine Learning Team

Edmonton, Calgary, Alberta

Permanent Full-Time Position

People are at the heart of everything we do. 

If you value service, care, excellence, trust and fairness, you’ll fit right in. You'll play an important role in making a difference that creates a safer, healthier and stronger Alberta by putting people first. We work together every day to help minimize the impact of workplace injuries and illnesses on Alberta workers and employers.

As the independent operator and administrator of the province’s Workers’ Compensation Act, WCB-Alberta provides protection for over two million workers and nearly 200,000 Alberta employers. Our employees are inspired to make a positive impact on the lives of injured workers and businesses throughout the province.

Your responsibilities:

  • Collect and preprocess data from both internal and external sources, curating datasets for machine learning model analysis and training, encompassing data cleansing, integration, transformation, and dimensionality reduction.
  • Establish comprehensive documentation, metadata, standards, and governance protocols concerning data preprocessing techniques and data asset management in the context of machine learning.
  • Deploy scalable machine learning solutions for seamless integration into client-facing applications.
  • Implement rigorous monitoring, maintenance, and reporting protocols for pre-existing models, originating from both internal and external sources.
  • Contribute to the agile and structured evolution of novel machine learning capabilities, encompassing iterative exploration, pilot phases, and proof of concept, preceding their enterprise-wide deployment.
  • Oversee a portfolio of diverse analytics projects, steering them towards delivering comprehensive end-to-end solutions. This involves crafting novel insights, ensuring the robust design and upkeep of data pipelines, and transforming predictive models into prescriptive analytics for optimized business outcomes.
  • Extract pivotal insights and wield influential impact on stakeholders' strategic decision-making and planning. Accomplish this through masterful presentations and data-driven business recommendations.
  • Possess the acumen to engage directly with business stakeholders, skillfully translating their objectives into well-defined analytical problems, thereby bridging the gap between business needs and data-driven solutions.
  • Receive guidance and training from the Team Lead and Machine Learning team, encompassing various methodologies, techniques, tools, and products.
  • Assist fellow data scientists in the development of analytical and predictive models aimed at resolving complex business challenges.
  • Collaborate closely with data science peers to assess machine learning models for AI platforms, calculate performance metrics, and offer data-driven insights.

Your experience and skills:

  • A Bachelor's Degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Engineering, accompanied by a minimum of 1 year of hands-on experience in handling unstructured data.
  • A Master's Degree in a quantitative field like Statistics, Mathematics, Computer Science, or Engineering, with substantial experience dealing with unstructured data sources, will be duly considered.
  • Familiarity with machine learning concepts and applied research in a related field.
  • Proficiency in a machine learning programming language (Python) is mandatory.
  • Strong SQL skills are a fundamental requirement.
  • Extensive experience in data preparation techniques, including data cleansing, wrangling, feature engineering, and a broad knowledge of ML models, including linear regression, tree-based regression/classification, clustering, and factor analysis, is essential.
  • Expertise with natural language processing and large language model is required.
  • Strong interpersonal, leadership, and communication skills, including the ability to simplify complex technical concepts for both non-technical audiences and executives.
  • Exceptional written and presentation skills are a mandatory requirement.
  • Experience with processing modeling, data modeling and governance/process documentation.
  • Project management experience is an asset.

What we offer:

We offer a competitive salary, a comprehensive benefits package, flexible work schedules and hybrid work opportunities (combination of work from physical office and primary home residence) that foster a healthy work-life balance. Take the next great step in your career and help us change lives. For more information, please see our Employee Handbook

Salary: $83,185.00 to $110,985.00 per annum (Salary Grade 11 includes Market Supplement)

Successful candidate must reside in Alberta and be able to work in person from our Edmonton downtown (Calgary) office as required. Final candidates are required to undergo a security clearance as a condition of employment.

We are committed to providing equal opportunity to all qualified persons, without regard to race, colour, religion or national origin, gender (or gender identity or expression), age, sexual orientation, physical or mental disability.  Equal opportunity is provided in employment, promotions and wages.

Closing Date:  February 23, 2026

We thank all applicants for their interest; however, only candidates selected for an interview will be contacted.

Top Skills

Python
SQL

Similar Jobs

19 Hours Ago
Remote or Hybrid
8 Locations
Senior level
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
The Data Scientist - Risk role involves developing key risk indicators and metrics, automating risk monitoring, and collaborating with cross-functional teams to analyze product risk.
Top Skills: BigQueryMatplotlibPlotlyPythonSnowflakeSQL
6 Days Ago
Easy Apply
In-Office or Remote
7 Locations
Easy Apply
Senior level
Senior level
Artificial Intelligence • Software • Generative AI
Analyze and optimize pricing, billing, and deployment metrics. Collaborate across teams to ensure data-driven decisions and improve enterprise readiness and cost efficiency.
Top Skills: Analytics Engineering PipelinesDbtPythonSQL
19 Days Ago
Remote or Hybrid
8 Locations
Senior level
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
The Staff Data Scientist will enhance Bitcoin adoption through data analysis, collaboration with teams, and building data foundations for product growth.
Top Skills: Ai ToolsAirflowAmplitudeLlmsLookerModePrefectSnowflakeSQLTableau

What you need to know about the Calgary Tech Scene

Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account