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Data Science Associate Jobs in Alberta (NOW HIRING)

PwC

SAP Security & GRC Senior Associate

Calgary, AB · Hybrid

As aDigital Risk Solutions Senior Associate,unlock your potential and embrace the chance to drive ... Bachelor's orMaster's degree in Business, Information Technology, Finance, Data Science or Computer ...

360training

Data Engineer (Canada)

Calgary, AB · Remote

One thing our associates get to experience is the ability to make an impact on day one of working ... Qualifications * Bachelor's or master's degree in computer science, Software Engineering ...

Lantern

Senior Data & AI Consultant

Edmonton, AB

Bachelor's degree in Computer Science, Data Engineering, or a related discipline. * 4+ years hands ... Fabric Analytics Engineer Associate * Microsoft Certified: Azure Data Engineer Associate

University of Alberta

Research Associate

Edmonton, AB · On-site

Strong skills in project management, scientific communication, and research coordination are ... The candidate must have at least 2 years' experience working with medical imaging data and a ...

SAIT

Research Associate - Energy

Calgary, AB · On-site

CA$65K - CA$70K/yr

... Science, Energy Management, and Environment, the successful candidate will be enthusiastic ... Data analysis, technical support, and onsite work including installation and construction oversight ...

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Data Science Associate information

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$10

$45

$98

How much do data science associate jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for data science associate in Alberta is $45.59, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $61.78 per hour, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Data Science Associates and other data science roles do not have an age limit; individuals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be learned through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities based on their experience and skill development.

What can you do with an associate in data science?

A Data Science Associate can analyze data, develop models, and generate insights to support decision-making within organizations. They often work with tools like Python, R, and SQL, and may assist in data cleaning, visualization, and reporting. This role typically requires foundational knowledge of statistics and machine learning techniques.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

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

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What is the work of an associate data scientist?

An associate data scientist analyzes data to identify trends and patterns, develops models using programming languages like Python or R, and supports data-driven decision-making. They often work under supervision to clean data, build algorithms, and communicate findings to teams.

Which is better, DS or CS?

For a Data Science Associate role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes programming, algorithms, and software development. The choice depends on the specific job requirements and your career goals, but proficiency in programming languages like Python or R and understanding of data tools are essential in both fields.
What are the most commonly searched types of Data Science jobs in Alberta? The most popular types of Data Science jobs in Alberta are:
What are popular job titles related to Data Science Associate jobs in Alberta? For Data Science Associate jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Alberta look for? The top searched job categories for Data Science Associate jobs in Alberta are:
Data Science Associate jobs near you

Senior Consultant, Microsoft Fabric Data Engineer, Data & AI

KPMG

Calgary, AB

Full-time

Posted 3 days ago

Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

Our team is looking for a Data Engineer with deep hands-on expertise in Microsoft Fabric and strong consulting capabilities. This role will support and lead data platform modernization initiatives, helping clients migrate from legacy and onpremise environments to scalable, secure, and unified analytics platforms leveraging Microsoft Fabric, OneLake, and Azure-native services.


What you will do
  • Partner with clients to understand business goals, gather requirements, and translate them into actionable technical designs and delivery plans using Microsoft Fabric.
  • Work with engagement teams to translate business and analytics requirements into endtoend data strategies, including ingestion, transformation, semantic modeling, and analytics enablement.
  • Contribute to solution architecture design for repeatable, scalable, and costoptimized analytics platforms using Microsoft Fabric components.
  • Lead delivery of modern data platforms leveraging Fabric Lakehouse, Data Warehouse, Data Engineering, and Real-Time Analytics workloads.
  • Design and implement data ingestion and transformation pipelines using Fabric Data Factory, notebooks, and Spark.
  • Implement medallion architecture patterns (Bronze, Silver, Gold) using Fabric Lakehouse and OneLake.
  • Develop scalable batch and streaming pipelines using Spark, Eventstreams, and real-time ingestion patterns.
  • Build and optimize semantic models for downstream analytics and reporting in Power BI.
  • Apply CI/CD and engineering best practices including version control, automated deployment, testing, and release management for Fabric workloads.
  • Establish and operationalize governance across Fabric using Microsoft Purview, role-based access control, and data lineage.
  • Support testing, performance tuning, and production releases across Fabric workloads.
  • Proactively contribute to creation of presentation materials and client-facing documentation related to data and analytics initiatives.
  • Provide technical leadership and mentorship to junior team members.

What you bring to the role
  • University degree in computer engineering, computer science, mathematics, data science, or related disciplines.
  • 4+ years of professional experience in Data Engineering, Analytics Engineering, Business Intelligence, or a related field.
  • 2+ years of hands-on experience with Microsoft Fabric or Azure Synapse / Azure Data Engineering services.
  • Strong proficiency in SQL and solid understanding of modern data modeling principles and data warehousing concepts.
  • Proficiency in Python (or similar languages) for data processing, automation, and analytics workflows.
  • Hands-on experience with Spark-based data processing and notebook-driven development.
  • Experience with Fabric Lakehouse, Data Warehouse (SQL Endpoint), OneLake, and semantic modeling.
  • Experience supporting data platform modernization and Azure-based migration initiatives.
  • Experience applying CI/CD practices to data and analytics solutions.
  • Strong understanding of data governance, security, and access control within Microsoft ecosystems.
  • Experience collaborating with cross-functional teams to solve complex data challenges.
  • Familiarity with Power BI and downstream analytics enablement.

Certifications (Preferred)

  • Microsoft Certified: Fabric Analytics Engineer Associate
  • Microsoft Certified: Azure Data Engineer Associate
  • Power BI Data Analyst certification
  • Other relevant Microsoft Azure or data engineering certifications

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $77,000 to $102,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Information   

The expected base salary range for this position is $73,000 to $100,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program. 

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • University degree in computer engineering, computer science, mathematics, data science, or related disciplines.
  • 4+ years of professional experience in Data Engineering, Analytics Engineering, Business Intelligence, or a related field.
  • 2+ years of hands-on experience with Microsoft Fabric or Azure Synapse / Azure Data Engineering services.
  • Strong proficiency in SQL and solid understanding of modern data modeling principles and data warehousing concepts.
  • Proficiency in Python (or similar languages) for data processing, automation, and analytics workflows.
  • Hands-on experience with Spark-based data processing and notebook-driven development.
  • Experience with Fabric Lakehouse, Data Warehouse (SQL Endpoint), OneLake, and semantic modeling.
  • Experience supporting data platform modernization and Azure-based migration initiatives.
  • Experience applying CI/CD practices to data and analytics solutions.
  • Strong understanding of data governance, security, and access control within Microsoft ecosystems.
  • Experience collaborating with cross-functional teams to solve complex data challenges.
  • Familiarity with Power BI and downstream analytics enablement.

Certifications (Preferred)

  • Microsoft Certified: Fabric Analytics Engineer Associate
  • Microsoft Certified: Azure Data Engineer Associate
  • Power BI Data Analyst certification
  • Other relevant Microsoft Azure or data engineering certifications

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $77,000 to $102,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Information   

The expected base salary range for this position is $73,000 to $100,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program. 

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME

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