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Data Science Intern Jobs in Alberta (NOW HIRING)

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Data Science Intern information

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How much do data science intern jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data science intern in Alberta is $33.69, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $39.90 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
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 cities in Alberta are hiring for Data Science Intern jobs? Cities in Alberta with the most Data Science Intern job openings:
Infographic showing various Data Science Intern job openings in Alberta 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 $70,068 per year, or $33.7 per hour.

Manager Data Architecture - Calgary, AB

Optiom

Calgary, AB โ€ข On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted yesterday


Job description

Build the data foundation of a growing specialty insurer


Optiom is a Canadian specialty insurance Managing General Agency (MGA), backed by Aviva Canada, delivering vehicle protection through a national network of dealers and brokers. We're investing in a modern, governed data platform - one where our customers and partners are understood in one place, and every policy, claim, call and service event connects back to them.


We're looking for a hands-on Manager, Data Architecture to lead our data analytics and data management functions and build that foundation with us. Reporting to the Director, Execution Office, you'll own the data model, the governed cloud data platform, and the analytics and reporting the whole business relies on - across all three of our brands.


This is a build-and-scale role for someone who wants to shape a data function from the model outward: establish the governance and quality that make the numbers reconcile, and turn a fragmented data landscape into a single, trusted source of truth.


What you'll do

  • Design and maintain our target data architecture - a governed cloud data platform (Snowflake) and curated data products such as Customer 360 and Partner 360.
  • Lead the data management function - master data management, data quality, governance, lineage and retention - so the numbers leadership reviews agree across sales, claims, finance and service.
  • Lead the analytics and BI function - deliver trusted, self-serve Power BI reporting for Sales, Claims, Operations, Finance and Service.
  • Define the data models and integration patterns that connect our core insurance, CRM and contact-centre systems through consistent, governed data contracts.
  • Partner across the business to translate questions into governed data products, and enable forecasting, retention analytics and AI-ready data.
  • Provide technical leadership and mentorship, and build internal data capability.


What you bring

  • 6+ years in data architecture, data engineering, or analytics leadership, including hands-on data modelling (dimensional and semantic) - not solely dashboard production.
  • Ownership of a modern cloud data platform (Snowflake strongly preferred; Azure or AWS equivalents considered) and current ELT / transformation practices.
  • Proven delivery of enterprise business intelligence (Power BI preferred) to senior leadership.
  • Experience establishing data governance, MDM and data quality controls in a regulated environment.
  • Strong SQL; Python an asset.
  • Bachelor's degree in Computer Science, Data / Information Management, Engineering, Statistics or a related field - or equivalent demonstrable experience.
  • A clear communicator who can translate between technical and business audiences.


Bonus points for

  • Insurance, financial services, MGA, warranty or premium-financing data experience.
  • Snowflake with dbt, Microsoft Fabric, or Azure Data Services.
  • Certifications such as DP-600, PL-300, SnowPro, CDMP (DAMA) or TOGAF.
  • Familiarity with API-gateway integration, canonical data contracts, and contact-centre data (e.g., Amazon Connect).
  • Privacy and AML data-handling exposure (PIPEDA, FINTRAC).


Who we are

Optiom Inc. is a specialty vehicle replacement insurance MGA and a wholly owned subsidiary of Aviva Canada. Originating in British Columbia in 2008 and now headquartered in Calgary, we deliver dependable protection through a national network of more than 330 dealerships and 900 broker offices, with over 600,000 policies sold to date. We pair the entrepreneurial energy of a specialty MGA with the strength and credibility of one of Canada's largest and most trusted insurers.


Why you'll want to join

  • Backed by Aviva Canada - enterprise-level resources in an entrepreneurial setting.
  • Own the data foundation behind our shift to a customer- and partner-centric way of operating.
  • Build-and-scale mandate across three brands and a national dealer and broker network.
  • Specialty niche - deep expertise in Canadian specialty vehicle-warranty insurance and premium financing.
  • Growth toward senior data and architecture leadership.
  • Employer-supported certifications and professional development.
  • Hybrid work model based in our Calgary office (open to Calgary-based candidates only).


Compensation & benefits

  • Base salary: $120,000-$15,000, commensurate with experience and certification level
  • Annual performance bonus: 10-15% of base
  • Comprehensive group benefits - medical, dental, vision, and EAP
  • Three weeks' vacation to start, increasing with tenure
  • Employer-supported professional development and certifications


How to apply

Apply directly through Indeed with your resume. We review every application and will be in touch with candidates selected to move forward.


Optiom is an equal opportunity employer. We are committed to an inclusive, barrier-free recruitment process and welcome applications from all qualified candidates. If you require accommodation at any stage of the hiring process, please let us know and we will work with you to meet your needs.


Optiom uses AI tools to assist with initial application screening. All final hiring decisions are made by Optiom's human hiring team.


We thank all applicants for their interest; only those selected for further consideration will be contacted.


Optiom Inc. | Driven by Aviva