Business Intelligence and AI Intern (12 Months)

Bayerische Motoren Werke Aktiengesellschaft

Richmond Hill

On-site

CAD 47,000 - 49,000

Full time

2 days ago
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Benefits offered by this job

Flexible working models
World-class office space
Onsite cafeteria with meals

Job summary

BMW Canada Inc. is offering a one-year BI/AI internship located in Richmond Hill, Canada. The role focuses on data-driven sales analytics, BI reporting, and AI/ML use cases within an interdisciplinary, startup-minded team.

You will design and maintain Tableau dashboards, create KPI definitions, and support data governance. Requires Python, SQL, Tableau experience, and a proactive, collaborative attitude.

Qualifications

  • Current student or recent graduate in Data Science, Data Analytics or comparable course of studies.
  • Experience with data visualization tools like Tableau preferred.
  • Coding experience in Python required.
  • Knowledge of AI/ML lifecycle and data workflows is advantageous.

Responsibilities

  • Support the design, development, testing, and maintenance of Tableau dashboards, reports, and visualizations.
  • Assist with reusable data assets, semantic models, KPIs, and metric definitions.
  • Work on data quality issues, validate outputs against business requirements, and coordinate with stakeholders for resolution.
  • Support requirements gathering and design of AI/ML use cases, and assist with workflow automation solutions.
  • Contribute to data governance activities including dictionaries, glossaries, and KPI definitions.
  • Collaborate in Agile teams using Jira, participating in planning, stand-ups, reviews, and retrospectives.

Skills

Tableau
Python
SQL
GitHub
MS Office

Education

Data Science / Data Analytics degree

Tools

Tableau
Git/GitHub
SQL
PowerPoint
Excel

Job description

Business Intelligence and AI Intern (12 Months) Language View Profile Employee Login Job Description Job Alerts Link Job Title: Business Intelligence and AI Intern (12 Months) Posting Start Date: 10/6/26 Job Location (Long): Richmond Hill, Canada

BMW Group Financial Services is offering a well-rounded internship with the focus on realizing data-based sales performance that permeates from headquarter down to each single sales outlet within Canada. This role is a part of an interdisciplinary team with a start-up mentality to innovate within a traditional automotive OEM for premium cars.

What awaits you?
Data Analytics & Business Intelligence
  • Support the design, development, testing, and maintenance of Tableau dashboards, reports, and visualizations with support from teammates.
  • Assist with reusable data assets, semantic models, calculated measures, standardized KPIs, and metric definitions.
  • Work on identified data quality issues, validate outputs against business requirements, and support resolution with relevant stakeholders.
Artificial Intelligence & Automation
  • Support requirements gathering and design process of AI and ML use cases.Support following up technical development and testing.
  • Contributes to projects involving Generative AI, Large Language Models, prompt engineering, orchestration, and agentic AI workflows.
  • Support implementing workflow automation solutions.
Data Governance & Documentation
  • Contribute maintaining data dictionaries, business glossaries, lineage documentation, KPI definitions, and analytical asset inventories.
Agile Delivery & Collaboration
  • Collaborate with teammates within Agile ways of working, including Scrum and Kanban, using JIRA. Participate in project planning, stand-ups, reviews, demonstrations, and retrospectives.
  • Communicate progress and contribute to timely delivery across multiple workstreams.

In addition to the above responsibilities, the intern is expected to perform any other duties as assigned by BMW Canada Inc. from time to time.

What should you bring along?
  • Current student or recent graduate in Data Science, Data Analytics or a comparable course of studies.
  • Relevant analytics and/or BI related working experience and knowledge in data visualization programs like Tableau is preferred.
  • Coding experience in Python is required.
  • Practical experience across the AI/ML lifecycle, including data cleanup, feature selection, model development, parameter tuning and testing is preferred.
  • Exposure to process automation, including identifying manual or repetitive workflows and supporting the design or implementation of automated solutions.
  • Strong foundation in mathematics and statistics, with the ability to evaluate datasets and business requirements to support appropriate AI / Machine Learning model selection.
  • Exposure to Git/GitHub, MCPs, cloud platforms is beneficial.
  • Strong knowledge in MS Office, especially PowerPoint and Excel and k nowledge in transactional & analytical data structure and SQL.
  • Willingness to work with various data related topics.
  • Strong teamwork and communication skills, with an o penness, motivation and hands-on mentality.
What we offer?
  • An award-winning culture.
  • Cutting edge innovation and creativity.
  • Flexible working models. **
  • World-class office space.
  • Fresh & nutritious meals in our amazing fully staffed, and subsidized, onsite cafeteria.
  • Fully stocked coffee/tea bar.

Start date: 11/02/2026

Type of employment: limited
Working hours: 37.5 hours

Compensation

The compensation range for this role is $47,000 - $49,000, with variations based on factors like experience, education and skills. Experienced candidates are encouraged to apply.

At the BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. Learn more here .

BMW Canada is committed to being an equal opportunity employer and to fostering an inclusive and accessible experience for all candidates. We welcome and encourage applications from people with disabilities. Accommodation is available on request . Candidates may contact accessibility@bmw.ca for accessibility assistance/ support during the recruitment process.

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