107 Data Scientists jobs in Greater Toronto Area

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Vice President, Data Science
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Services within Mastercard is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. Do you have a passion for developing products using leading-edge technology that solve for key industry pain points?
Role:
The Vice President will provide strategic leadership and direction, overseeing key business functions to drive growth and innovation. This role involves managing a team of data scientists and analysts in cross-functional teams, ensuring operational excellence, and fostering a culture of collaboration and continuous improvement. The Vice President will develop and implement strategic initiatives, align departmental goals with the organisation's vision, and maintain strong relationships with stakeholders. The ideal candidate will possess exceptional leadership skills, a deep understanding of the industry, and the ability to translate strategic objectives into actionable plans.
You will also lead a team of highly skilled data science analysts in data quality initiatives and tasks in a multi-product environment. You will drive excellence in execution, automation and identify new and novel ways to enhance the overall data quality of our products and business process.
You've been involved in defining AI strategies and aligning those strategies to data, product and business strategies to support and enhance the overall success of those strategies. You will contribute to the overall data strategy for the organization and assist with the strategy to align our data and processes with the AI strategy and lead the incorporation of AI for revenue generation, process optimization and data quality.
All About You:
- Proven ability to develop and execute data science strategies that align with business goals and objectives.
- Deep understanding of data science principles, algorithms, and techniques including supervised and unsupervised learning, deep learning, natural language processing and have extensive knowledge of the low-level details behind these algorithms.
- Recent experience leading GenAI initiatives focused on leveraging the latest capabilities of ChatGPT, Gemini or similar.
- Several years of prior experience as a senior level data scientist developing and deploying machine learning and deep learning solutions end-to-end (data exploration to deployment).
- Skilled in recruiting, mentoring, and managing high-performing teams.
- Passionate about leveraging advanced analytics and machine learning to drive innovation.
- Strong track record of partnering with senior leadership and cross-functional teams.
- Exceptional ability to convey complex technical information to diverse audiences.
- Focused on defining OKR's, KPIs and metrics to measure the impact and effectiveness of product workflows and data science projects.
- Ability to translate data insights into strategic business recommendations.
- Ensures adherence to data governance policies and standards.
- Ability to explain complex algorithms and results to variety of audiences
Experience working:
- Previously as a data scientist with experience in Python, R Programming, ML Frameworks (Scikit learn) and Deep Learning Frameworks (TensorFlow, PyTorch)
- Preferably in the AzureML suite of machine learning technologies or prior experience with either AWS or Google machine learning tools and technologies.
- With the following technologies SQL, SAP HANA, Hadoop, Snowflake, Linux, Azure, Azure Machine Learning, Databricks, Apache Spark (PySpark/Scala)
- With analysts to build reporting and dashboards for business use cases
- With data analysis, statistical analysis and the ability to convey complex analysis to broad audiences
- In a cloud based big data environment and deploying machine learning models at scale
- With source control, production and non-production environments and automated build and deployment
- Ideally you have experience in banking, e-commerce, credit cards or payment processing and exposure to both SaaS and premises-based architectures.
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

Application Deadline:

11/09/2025

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

This role will require 3-5 days in the Toronto office

Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.

• Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
• Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
• Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
• Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
• Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
• Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
• Provides specialized consulting, analytical and technical support.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently and regularly handles non-routine situations.
• Broader work or accountabilities may be assigned as needed.

Qualifications:

Intermediate level of proficiency:

• Mathematics, statistics & operations research.
• Deep learning.
• Machine learning.
• Trust, bias and ethics.
• Creative thinking.
• Critical thinking.

Advanced level of proficiency:

• Big data.
• Data visualization.
• Computational thinking and programming.
• Data wrangling.
• Data preprocessing.
• Creative reasoning.
• Verbal & written communication skills.
• Collaboration & team skills.
• Analytical and problem solving skills.
• Influence skills.
• Data driven decision making.
• Advanced Python programming skills and extensive experience in predictive modeling is mandatory for this role. Some experience in SAS and AWS sage maker will be an asset.
• Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Deep knowledge and technical proficiency gained through extensive education and business experience.

Salary :

$82,800.00 - $154,800.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: 

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at .

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
The Driver team aims to provide a best in class driving and earnings experience that enables anyone to join the platform and make a living. As a Data Scientist on the Driver Experience & Segments team, you will collaborate with our world class team of engineers, product managers, and designers to design the end-to-end driving experience for hundreds of thousands of drivers who interact deeply with our app every day. You will be a key partner in creating innovative ways to reward and recognize our best drivers, building tools to provide guidance to drivers on how to maximize their earnings, and designing the best UI and personalized XP to match the right rides to the right drivers quickly. This Scientist's role will inform the driver experience for all drivers, in particular our most valuable ones, and help to improve their take home earnings.
Data Science is at the heart of Lyft's products and decision-making. You will leverage data and rigorous, analytical thinking to shape our Driver products and make business decisions that put drivers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features.
**Responsibilities:**
+ Leverage data to provide insights around driver behavior and sentiment and identify improvement opportunities
+ Apply analytics, inference and experimentation techniques to solve business problems
+ Design and analyze experiments; communicate results to technical and non-technical audiences to act on launch decisions
+ Establish metrics that measure the health of our driver products and driver experience
+ Develop analytical frameworks and dashboards to monitor business and product performance
+ Partner with product managers, engineers, and operators to translate analytical insights into decisions and action, and implement products to drive business goals
+ Design and implement data pipelines to support data analysis and product implementation
**Experience:**
+ Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience
+ 4+ years experience in a data science role or analytics role
+ Proficiency in SQL - able to write structured and efficient queries on large data sets
+ Experience in programming, especially with data science and visualization libraries in Python or R
+ Experience in online experimentation and statistical analysis, and communicating results and recommendations to senior stakeholders
+ Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners
+ Experience in applying machine learning techniques a plus (e.g. reinforcement learning) to solve customer problems (e.g. personalization, segmentation)
+ Experience working with ETL pipelines a plus
**Benefits:**
+ Extended health and dental coverage options, along with life insurance and disability benefits
+ Mental health benefits
+ Family building benefits
+ Child care and pet benefits
+ Access to a Lyft funded Health Care Savings Account
+ RRSP plan to help save for your future
+ In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
+ Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
+ Subsidized commuter benefits
Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
Lyft's Data Science Team builds mathematical models underpinning the platform's core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment.
We are hiring for a variety of Data Science interns, focusing on the following specialties:
**Optimization:** Construct and fit statistical or optimization models that facilitate automated decision making in the app.
**Machine Learning:** Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment.
**Inference:** Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems.
You will report into a Science Manager.
**Responsibilities:**
+ Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context
+ Perform exploratory data analysis to gain a deeper understanding of the problem
+ Write production modeling code; collaborate with software engineers to implement algorithms in production
+ Design and run both simulated and live traffic experiments
+ Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions
**Experience:**
+ **Currently pursuing a Masters or PhD degree at a university in Canada (required)** in mathematical sciences ( **Operations Research, Computer Science, Statistics** , Applied Mathematics, Theoretical Physics, Behavioral Science, Electrical Engineering, etc.), Economics (Microeconomics Theory, Econometrics etc.), Data Engineering; or a related field; AND with **a graduation date between December 2026 and June 2027 (required)**
+ Available during **Summer 2026** for an internship in Toronto
+ Experience coding in **Python (required)** or SQL, R; standard data science libraries (NumPy, Scikit-learn, PyTorch, TensorFlow, Keras); and ML Tools & Libraries (NumPy, SpaCy, NLTK, Scikit-learn, TensorFlow, Keras)
+ Experimental design and analysis
+ Exploratory data analysis
+ Expertise in one of these specialties: optimization and mathematical modeling, machine learning fundamentals, or probabilistic and statistical modeling
+ Bonus points: Experience in marketplace design, ridesharing, studying two-sided marketplaces, and/or transportation
**Benefits:**
+ Mental health benefits
+ In addition to holidays, interns receive 2 days paid time off and 3 days sick time off
+ Subsidized commuter benefits
_Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request._
_Lyft highly values having employees working in-office to foster a collaborative work environment and company culture._ _This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays._ _Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers._ _#Hybrid_
_The expected base pay range for this position in the Toronto area is $45-$48/hour CAD. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process._

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
The Rider organization is responsible for the Lyft Rider App, spanning the full consumer journey from request and purchase to pickup, in-trip experience, drop-off, and time between rides. Within this org, the Rider Offerings team owns growth and service excellence across Lyft's portfolio of offerings - ensuring each ride option is reliable, intuitive, and high-quality. The team also plays a critical role in Lyft's global expansion and shaping the future of AV/PV hybrid rideshare experience.
This role will deliver the data science foundations that shape how riders choose and experience Lyft's offerings. The right candidate will apply experimentation, measurement, and modeling to guide product decisions that drive adoption, service reliability, and long-term user retention. They will shape the future of Lyft's core rideshare offerings in partnership with product, design, engineering, and marketing stakeholders throughout the organization.
**Responsibilities:**
+ Design and analyze experiments to optimize service excellence across offerings - measuring reliability, growth, and rider retention.
+ Build models and reporting frameworks that explain rider choice, conversion, and retention across different ride modes and product offerings.
+ Establish metrics that measure the health of Lyft rideshare offerings and rider experience. Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and actions
+ Develop insights that inform product strategies and global market adaptation.
+ Contribute to Lyft's experimentation and observability frameworks to ensure scientific rigor and actionable results.
**Experience:**
+ Bachelor's or Master's degree in a quantitative discipline (Computer Science, Statistics, Economics, Mathematics, Operations Research, or related field).
+ 2-4 years of experience in applied data science, analytics, or related roles.
+ Strong proficiency in SQL and Python (or R), with experience analyzing large-scale datasets.
+ Solid foundation in experimentation design, causal inference, and applied statistics.
+ Demonstrated ability to translate complex, ambiguous problems into clear analysis and recommendations.
+ Effective communication skills to influence product and cross-functional partners.
**Benefits:**
+ Extended health and dental coverage options, along with life insurance and disability benefits
+ Mental health benefits
+ Family building benefits
+ Child care and pet benefits
+ Access to a Lyft funded Health Care Savings Account
+ RRSP plan to help save for your future
+ In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service
+ Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
+ Subsidized commuter benefits
Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.
Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule - Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Job Description

Job Description

About Us!  
As part of the largest baking company in the world, Bimbo Canada is a leading producer and distributor of packaged fresh bread, bakery products and snacks. We produce and distribute more than 1,000 products across; 18 brands Canadians know and trust, like Dempster's®, Villaggio®, POM®, Bon Matin®, Stonemill®, Natural Bakery®, Takis®, Thomas'®, Little Bites™, Vachon®, Hostess® and more.

In business for more than 110 years, the company operates 15 bakeries and employs approximately 4,000 associates across Canada. Bimbo Canada creates value by being at the forefront of manufacturing and service delivery innovation in the baking industry through the continued improvement and refinement of its supply chain network while serving major grocery chains, retail outlets and foodservice operations across Canada.

At Bimbo Canada, we’re more than just a bakery - we’re a family dedicated to baking delicious moments for millions. Our beliefs are the foundation of our success, and we’re looking for people who share our commitment to excellence.

Position Summary:
We are looking for an Artificial Intelligence Specialist to champion AI adoption across our company while ensuring strategic alignment with business objectives and our technology ecosystem. The ideal candidate will be knowledgeable about AI technologies and skilled in educating, guiding, and translating needs of non-technical users to leverage AI solutions that improve efficiency, decision-making, and innovation. This role serves as a bridge between AI innovation and practical business applications, fostering adoption and best practices within our global ambassador community.

Key Responsibilities:
Alignment & Business Integration

• Partner with business leaders to identify AI opportunities that align with organizational strategy and deliver measurable value
• Translate business requirements into AI use cases and collaborate with technical teams on implementation roadmaps
• Monitor AI trends and assess their relevance to our industry and competitive landscape
• Develop business cases for AI investments and track ROI on implemented solutions

P latform & Technology Evangelism

• Serve as the primary advocate for our AI platforms and tools across all business units
• Design and deliver training programs, workshops, and demonstrations to drive platform adoption
• Collaborate with IT and platform teams to ensure seamless integration with existing technology stack
• Maintain expertise in our AI toolchain and stay current with platform updates and capabilities

Leadership & Knowledge Sharing

• Actively participate in our global AI ambassador network, sharing insights and best practices
• Organize and facilitate cross-functional AI working groups and communities of practice
• Create and curate content including case studies, tutorials, and success stories
• Represent the organization at internal and external AI conferences and events

Management & Adoption

• Develop change management strategies to overcome resistance and drive AI adoption
• Identify and train local AI champions within different departments
• Establish metrics to measure AI literacy and adoption across the organization
• Provide ongoing support and guidance to teams implementing AI solutions
• Advise on ethical considerations in AI development including fairness, transparency and accountability aligned to applicable regulations.
• Being able to travel 30% of the time nationally as well as internationally.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven experience with AI and machine learning concepts, tools, and applications.
• Strong communication and interpersonal skills to effectively educate and influence diverse audiences.
• Ability to translate complex AI topics into accessible language and practical business solutions.
• Familiarity with our specific AI platforms and technology stack (Microsoft, Oracle, ServiceNow) and programming skills (Python, R, or similar).
• Experience working in cross-functional teams and managing AI-related projects is preferred.
• Fluency in French and/or Spanish an asset but not mandatory

Preferred Qualifications:

• Experience in training or change management related to technology adoption.
• Knowledge of AI ethics, responsible AI practices, and data privacy regulations.
• Familiarity with cloud platforms and AI deployment environments.
• Experience tailoring AI solutions to specific industry challenges or business goals.

Growth Opportunities: Bimbo Canada is committed to personal and professional growth. We offer training, development, and advancement opportunities both domestically and internationally.

Innovation : Be part of a company that constantly innovates in the food industry. Your work will contribute to creating delicious products loved by millions.

The Bimbo Way:   We believe in the special dignity and value of the human person.  We believe that as people we form one community and we believe that this community is focused on getting results.  We do this by competing and winning in the market with superior quality in everything we do.  We believe in being sharp operators; that is, being very, very good at what we do, and always acting with integrity so that as a company we can transcend and endure for a very long time. That’s the Bimbo Way. 

We are incredibly proud of our distinction as one of Canada’s Most Admired Cultures by Waterstone Human Capital . This recognition is a reflection of how strong, people-first culture drives exceptional performance and sets us apart as industry leaders.  Bimbo Canada was also named one of the 2024 Best Places to Work by Canadian HR Reporter (CHRR) !    This tremendous honour recognizes our commitment to creating an outstanding workplace for our associates. 

If you are ready to join a company that values its associates and bakes delicious moments every day, apply today!

Your journey with Bimbo Canada starts here.

We thank all interested applicants, but only those selected will be contacted. Please note all offers of employment at Bimbo Canada (Formerly Canada Bread Company Limited) are conditional upon the successful completion of a pre-hire background check (including but not limited to criminal history, reference, credit and/or physical demands checks) as appropriate for the role and as permitted by law.

Bimbo Canada is an equal opportunity employer that is dedicated to building a diverse workplace that promotes diversity, equity and belonging in the workplace, and encourages applications from qualified people of all genders, visible minorities, aboriginal peoples and persons with disabilities. We welcome applications from all interested individuals; however, only those candidates selected for an interview will be contacted.

Job seekers with disabilities who require accommodation during the recruitment process, or would like more details about accessibility, should contact Bimbo Canada Accessibility at

Job Description

Job Description

Was wir bieten:

Bei Magna erwartet dich ein spannendes und dynamisches Arbeitsumfeld, in dem du dazu beitragen kannst, marktfhrende Automobiltechnologien zu entwickeln. Wir investieren in unser Personal und bieten ihm die Untersttzung und Ressourcen, die es bentigt, um erfolgreich zu sein. Als Mitglied unseres globalen Teams erwarten dich aufregende und vielfltige Aufgaben sowie ein breites Spektrum an Entwicklungsmglichkeiten. Wir sind nmlich der Meinung, dass dein Karrierepfad genauso individuell sein sollte wie du selbst.

Job descriptions may display in multiple languages based on your language selection.

What we offer:

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

Group Summary:

The Magna Exteriors portfolio of products includes access systems such as liftgates, exterior trim, modular systems, front-end modules including fascia, active aerodynamic systems and other lightweight structural components for automotive, commercial truck and other industrial markets.

Recognized globally as an innovator in all aspects of vehicle exteriors, Magna provides everything needed, from materials development and design through manufacturing and assembly, to help automakers create sleek, state-of-the-art vehicles across the world.

Job Responsibilities:

As an Artificial Intelligence Student, you will play a vital role in implementing AI projects on our production floor to enhance efficiency and quality. Collaborating with cross-functional teams, you will develop and execute innovative AI solutions, using your creative thinking to tackle complex challenges. Reporting on project progress and continuously improving AI implementations will be essential aspects of your role. Your expertise in AI technologies, programming, and machine learning algorithms will contribute to our company's digital transformation.

**Please note this is a 1 year contract. You must currently be enrolled in a Co-Op Program with your College or University

• Develop and Train machine learning models through our specialized AI Video tools
• Validate and test models using Python OpenCV
• Aid in building and deploying AI Systems on our production floor to integrate with existing systems.
• Evaluate the feasibility and potential impact of AI initiatives and propose innovative solutions.
• Work closely with cross-functional teams to gather requirements and design AI solutions.
• Monitor and continuously improve the performance and effectiveness of AI implementations.
• Stay up to date with advancements in AI technologies and identify opportunities for continuous improvement.
• Regularly report on the progress of AI initiatives, including milestones achieved, challenges faced, and future.
• Document all methodologies, processes and results
• Provide training and support to team members on AI-related projects

Requirements:

• Enrolled in Bachelors or Masters in Artificial Intelligence, Machine Learning or Equivalent Field
• Python, YOLO Models, Tensorflow, PyTorch
• Strong analytical skills with the ability to interpret and derive insights from complex data
• Proficiency in working with a wide range of AI toolboxes and frameworks
• Fluent English in reading, writing & communication.

Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.

Worker Type:

Fixed Term (Fixed Term)

Group:

Magna Exteriors