Contract

• Remote (within Canada)
• Posted on May 12, 2026

Tri-global Solutions Group Inc.

DATA ANALYTICS SPECIALIST / DATA SCIENTIST (AI & Analytics Applications)

Requisition #: R26-3509 (GOAPRDJP00000929)

Location: Remote (within Canada)

Engagement Type: Contract

Number of Resources required: 1

Rate (CAD): Up to $95.00 per hour / Commensurate with related experience and market competitiveness

Term: 12 months (2026-06-19 to 2027-05-19) with 6-month extension available (up to 18-month contract)

Hours per day: 7.25

Security Screening: Standard (Criminal Record Check)

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Tri-global Solutions Group Inc. is seeking one (1) Data Analytics Specialist / Data Scientist (AI & Analytics Applications) to join our talented Service Delivery team at Ministry of Technology and Innovation (Government of Alberta).

WORK MODEL: The successful contractor will be working remotely, though must be available for onsite meetings if required. It is anticipated that this role will be 100% remote. Work must be done from within Canada at all times due to network and data security policies. Applicants must be authorized to work in Canada to apply (i.e., Canadian Citizen). Standard Hours of work are 08:15 – 16:30 Alberta time, Monday through Friday excluding observed holidays.

Please review the project overview and requirements below. If you meet the requirements and are interested in submitting for this role, please reply to this job posting.

If you know other consultants who may be interested in this opportunity kindly share this job posting.

Thank you.

Tri-global Solutions Group Inc.

Website: https://tri-global.com

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PROJECT OVERVIEW

Project Name:
Data Projects

Scope:
The Data and Content Management Division uses a one-government approach to information and privacy governance, decision-making, and service delivery across the Government of Alberta (GoA) balanced with individual client needs. This facilitates enhanced data access, collaboration, reduction in data duplication, and innovation to ensure effective and efficient services across the government to provide better services to Albertans.

The Data Centre of Excellence requires a resource to support the design and development of analytical data products & services to enable the GoA to better leverage its data assets support implementation of the GoA Data Strategy. Working within a team, this resource is an expert, and plays a key role in ensuring high-quality data modeling, applying algorithms, de-identification, synthetic data creation, visualizations and development of evidence for use across ministries and with external stakeholders. This role will enact the pillars of the Data Strategy by using data to benefit Albertans

The successful candidate will be a Data Analytics Specialist / Data Scientist with a diverse range of analytical skills and experience in working in multi-faceted roles. The role may have aspects of any or all the following: data analysis, data science, data modelling, statistical analysis, artificial intelligence (AI) & machine learning (ML), strategizing, advising, data product design and delivery. There may be aspects of data engineering, technical analysis, and business analysis.

DESCRIPTION OF SERVICES

Provides hands-on support, leadership, advice and direction on the strategic data initiatives that are being undertaken as part of the Data Strategy. A critical responsibility is to coordinate with various internal and external clients to understand their analytics needs and how to use the data to best meet these needs. This resource is an expert in anticipating, identifying and responding to diverse and complex data analytic requirements across GoA departments and from external organizations, while also aligning with other areas of branch and broader department. Services and project deliverables should evolve as the work progresses, in response to emerging user and business needs, as well as design and technical opportunities. Works with Manager Analytics Capability Centre to:

• Provide expertise and leadership in the design and competition of analytic projects
• Develop and share data models and products
• Provide continuous improvement of analytics capacities
• Design and support development of analytic service offerings
• Analyze and organize raw data, preparing it for prescriptive and predictive modeling, while building algorithms that deliver business value.
• Evaluating business needs, enhancing data quality, and designing analytical tools to support our data services.
• Conducting complex data analysis and collaborating with data engineers and analysts on various projects.
• Coaching and mentorship team members, fostering a client-centric approach and encouraging innovative solutions.
• Working closely with senior management to support a cultural shift toward data as a strategic asset and maintain effective relationships with internal and external stakeholders.
• Create and present options, roadmaps, frameworks, models, and briefings for senior executives with regards to analytics services, based on best and emerging practices and principles.
• Facilitate strategic conversations to develop shared understanding and generate options for decision-making to align diverse stakeholder interests and goals.
• Develop baseline and ongoing outcomes, key results, metrics, and other indicators.
• Work as part of a team responsible for the generalizable extraction of knowledge
• from data by applying various techniques and methodologies including probability models, machine learning, computer programming, statistics, data engineering, pattern recognition and learning, and data visualizations
• Experience in Data Analytics or as a Data Scientist.
• Apply skills to provide insights, support decision-making and facilitate strategic business planning across the department.
• Requires a focus on understanding predictive analytics and needs-based analytics strategies to simplify, consistently produce and re-use analytical models and assets to drive measurable value.
• Provide executives and decision makers a deeper understanding of their operations,
• transactions, services and information required for them to identify new opportunities
• that can only be uncovered through analytics.
• Provide depth and insights on GoA’s data assets and transform them into meaningful analytics for decision making
• Bring knowledge of statistical classification techniques such as k-means and hierarchical clustering, partition trees, and logistic regression.
• Integrate both quantitative and qualitative data to create business insights.
• Design and create dashboards and custom reporting with various data sources and inputs.
• Analyze data and prepare results.
• Gather and document client requirements.
• Capture business and technical metadata for analytical products.
• Escalate issues and risks, as appropriate.
• Work within a multi-vendor/staff environment.

Deliverables:
– Specific deliverables and due dates will be determined by the client team in conjunction with project management.
– Status reports – weekly and monthly.

MANDATORY REQUIREMENTS

– Bachelor degree in Computer Science or related field of study equivalencies will be considered. (Yes or No)
– Experience and comprehensive skills in using statistical and computer languages, e.g. R, Python, SQL. (6 years+)
– Experience building and deploying end to end analytical or AI enabled applications, from data ingestion and modeling through to user facing solutions using modern web frameworks (e.g., React.js, Vue.js, or similar), enabling intuitive consumption of data and insights. (2 years+)
– Experience in building analytical and quantitative analysis models. (6 years+)
– Experience with projects that involved data science , data engineering and / or AI. (6 years+)
– Experience in preparing data for prescriptive and predictive modelling. (6 years+)
– Experience with and understanding of different approaches and methods for data analytics and data science (e.g. complex statistical modelling). (6 years+)
– Experience with and understanding of statistical and data mining techniques to address key business issues. (6 years+)

DESIRABLE REQUIREMENTS

– Experience and knowledge of data sharing, data-linkage, de-identification, metadata, data quality, ethics, synthetic data and data literacy and how to promote use of government data. (5 years+)
– Experience combining raw data from a variety of data sources within and across domains. (5 years+)
– Experience dealing with clients and explaining complex data principles in a thoughtful manner. (5 years+)
– Experience designing and maintaining data pipelines, data analytics workflows, or data product workflows. (3 years+)
– Experience in understanding complex businesses questions and framing the right analytical question to solve a business problem. (5 years+)
– Experience preparing visualizations, dashboards, and analytical models. (3 years+)
– Experience utilizing big data technologies (e.g., Hadoop, Spark) or cloud platforms (e.g. Azure, Snowflake). (3 years+)
– Experience working with large government datasets. (3 years+)

NOT FOR YOU?

Check out our other opportunities at https://tri-global.com or follow us on LinkedIn. We thank all candidates in advance. Only candidates selected for an interview will be contacted.

WHY WORK WITH TRI-GLOBAL?

– Empower positive change by enabling our clients to revolutionize innovation and technology, elevating them to a higher level of excellence and efficiency.
– Join an exceptional and committed team that redefines the landscape, forging a distinctive path towards success.
– Engage in stimulating and captivating projects that push boundaries and keep you constantly motivated.