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Data Science Contract Jobs in Edmonton, AB (NOW HIRING)

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Senior Specifications Writer

Edmonton, AB · On-site

CA$90K - CA$124K/yr

Maintain currency of specification writing skills, aspects of building science, contract law and ... We look at annual market data to understand how different roles are compensated in our industry ...

Lifeworks

Data Conversion Lead

Edmonton, AB · On-site

Bachelor's degree in mathematics, actuarial science, computer science or finance * Minimum of 5 ... Your work directly affects major enterprise clients with long-term contracts, providing both ...

The Altus Group

Analyst, Cost Planning

Edmonton, AB · On-site +1

CA$60K - CA$70K/yr

... contract documentation for detailed and/or conceptual estimates * Assist and/or execute the ... data cost information Key Requirements: * Degree or Diploma in Architectural Technology, Civil ...

Actalent

Mechanical Drafter (CREO)

Edmonton, AB · On-site

CA$38 - CA$43/hr

As demand for high-performance data infrastructure continues to grow, they are expanding their ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

Lifeworks

T-SQL Programmer

Edmonton, AB · On-site

The T-SQL Data Conversion Developer is responsible for programming all the transformations required ... Bachelor's degree in Computer Science, Software Engineering, or related field * Minimum 3 years of ...

Recruitment Partners

Director of IT

Edmonton, AB

Oversee IT vendors, licensing, contracts, and procurement * Mentor and lead a growing in-house ... Degree or diploma in IT, Computer Science, or a related field * 7+ years of progressive IT ...

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Showing results 1-20

All JobsData Science Contract JobsData Science Contract Jobs in Edmonton, AB

Data Science Contract information

See Edmonton, AB salary details

$23.5K

$110.9K

$205K

How much do data science contract jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science contract in Edmonton, AB is $110,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $155,500.00 per year, depending on experience, location, and employer.

What is a data science contract?

A Data Science Contract job is a temporary or project-based role where a data scientist is hired for a specific period to work on data-related tasks such as analysis, machine learning, or model development. These roles can be short-term (a few months) or long-term but lack the benefits and job security of full-time employment. Contract data scientists often work with multiple clients, bringing expertise to solve business problems without a long-term commitment.

What kinds of projects and day-to-day tasks can I expect as a data science contract professional?

As a Data Science Contract professional, you can expect to work on a variety of projects such as developing predictive models, analyzing large datasets, creating data visualizations, or advising organizations on best practices for data-driven decision making. Your day-to-day tasks may involve collaborating closely with clients or internal stakeholders to clarify objectives, cleaning and preparing data, developing algorithms, and presenting your findings in clear, actionable formats. Projects often vary in length and scope, offering exciting opportunities to tackle new business challenges across different industries. Flexibility and effective time management are essential, as balancing project deadlines and adapting quickly to new tools or domains are common aspects of contract-based work.

What are the key skills and qualifications needed to thrive in the data science contract position, and why are they important?

To thrive as a Data Science Contract professional, you need a strong foundation in statistical analysis, machine learning, data manipulation, and advanced proficiency in programming languages such as Python or R, typically supported by a relevant degree. Experience with data visualization tools, cloud platforms, and certifications like AWS Certified Data Analytics or Microsoft Certified: Data Scientist are highly valued. Excellent communication, problem-solving abilities, and adaptability are crucial soft skills for collaborating with diverse teams and interpreting client needs. These skills ensure that contract-based data scientists can deliver actionable insights, adapt to new environments, and effectively address client-specific problems within limited project timelines.

What are the most commonly searched types of Data Science jobs in Edmonton, AB? The most popular types of Data Science jobs in Edmonton, AB are:
What are popular job titles related to Data Science Contract jobs in Edmonton, AB? For Data Science Contract jobs in Edmonton, AB, the most frequently searched job titles are:
What job categories do people searching Data Science Contract jobs in Edmonton, AB look for? The top searched job categories for Data Science Contract jobs in Edmonton, AB are:
Data Science Contract jobs near you
Infographic showing various Data Science Contract job openings in Edmonton, AB 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, with an average salary of $110,868 per year, or $53.3 per hour.

Senior Data Scientist (Hybrid)

NATIONAL BANK OF CANADA

Edmonton, AB • Hybrid

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Attendance
Hybrid
Job number
34216
Category
Senior Professional
Status: Permanent
Type of Contract
Permanent
Schedule: Full-Time 
Full Time / Part Time?
Full-Time
Posting date
14-Jul-2026
Area(s) of interest: Business intelligence and data
Location(s): Edmonton

A career as a senior data scientist in the Western Excellence Center AI and Transformation Delivery team at National Bank means acting as a specialist in advanced analytics, machine learning, and artificial intelligence solutions. This job allows you to have a positive impact on our organization thanks to your experience in designing, deploying, and operationalizing data science solutions that improve client experience, strengthen risk management, and support operational efficiency.

Your role

  • Frame high-impact analytics and artificial intelligence mandates with partners, clarify business needs, and translate them into concrete data science solutions.
  • Design, develop, validate, and deploy machine learning, statistical, and generative artificial intelligence models, including large language model solutions and retrieval-augmented generation.
  • Perform exploratory data analysis, feature engineering, model experimentation, and communicate findings through clear recommendations that support decision-making.
  • Implement model lifecycle practices, including model operations, continuous integration and delivery, monitoring, issue resolution, performance tracking, and audit-ready documentation.
  • Define and promote development best practices, standards, reusable patterns, and strong documentation practices for models, data lineage, assumptions, and artificial intelligence processes.
  • Support delivery activities such as planning, testing, troubleshooting, demonstrations, training, and knowledge transfer to help teams adopt new methods and tools.

Your team

Within the Western Excellence Center AI and Transformation Delivery department, you are part of a multidisciplinary team working closely with artificial intelligence, data governance, infrastructure, information architecture, security, database and data warehouse administration, business analysis, quality assurance, and business stakeholder teams. You report to the management team and operate with autonomy within established standards. Our team stands out for its focus on innovation, knowledge sharing, and continuous improvement. We aim to offer you maximum flexibility to promote your quality of life. This includes a hybrid work environment and a flexible, adaptable schedule.

The Bank values continuous development and internal mobility. Our personalized training programs, based on learning through action, allow you to master your role and develop new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning Center, and coaching and mentoring support are available to you at all times.

Requirements

  • Hold a degree in computer science, engineering, data science, statistics, or another related field, combined with 3 to 5 years of experience delivering production analytics or machine learning solutions.
  • Have strong programming and data skills with tools and languages such as Python, Structured Query Language, Rust, JavaScript, C, C++, SAS, or R, as well as experience with relational databases.
  • Have experience with data wrangling, preprocessing, visualization, extract-transform-load processes, and tools such as SAS Viya or equivalent platforms.
  • Have experience with model management, model operations tools, continuous integration and delivery pipelines, source control, and modern development environments.
  • Have practical knowledge of containers, orchestration, cloud environments such as Amazon Web Services or Microsoft Azure, and production deployment practices.
Languages:
English
Skills

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Artificial Intelligence Communication Data Structures Data Visualization Diversity & Inclusion Problem Solving Statistics Teamwork Business Acumen Data-Driven Decision-Making Detail-oriented Initiative Learning Agility Data pipeline Exploratory Data Analysis
Your benefits
In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:

* Health and wellness program, including many options
* Flexible group insurance
* Generous pension plan
* Employee Share Ownership Plan
* Employee and family assistance program
* Preferential banking services
* Involvement in community initiatives
* Telemedicine service
* Virtual sleep clinic

We have an offer that keeps up with trends as well as your needs and those of your family.

Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged.

Making a bold move in a people-first environment
We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.

We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?

Join us!
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