114 Lead Data Scientist jobs in Canada
Lead Data Scientist
Toronto, Ontario
Sanofi Group
Posted 5 days ago
Job Viewed
Job Description
**Reference No** . R
**Position Title:** Lead Data Scientist
**Department** : Commercial Data Science
**Location:** Downtown Toronto, ON (Hybrid - 3 days a week onsite)
**About the Job**
Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives.
Sanofi's Digital organization's mission is to transform Sanofi into a data-first and AI first organization by empowering everyone with good data. Through custom developed AI products built on world class data foundations and platforms, the team builds value and a unique competitive advantage that scales across our markets, R&D and manufacturing sites. The team is located in major hubs in Paris, Lyon, Barcelona, Cambridge, Bridgewater, Toronto, Budapest and Hyderabad. Join a dynamic, fast paced and talented team, with world class mentorship, using AI to chase the miracle of science.
We are seeking a highly skilled and visionary **Lead data scientist** to drive innovation and impact at the intersection of AI and Commercial Pharma operations. This role will be a part of the Digital Commercial Advanced Analytics and AI team, which operates under the Digital Global Business Units and is an integral part of Sanofi Digital Organization.
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?
**Main Responsibilities:**
+ Lead design, development and deployment of scalable AI, GenAI and agentic AI solutions aligned with strategic priorities across Sanofi's Global Business Units
+ Directly contribute to digital transformation of commercial functions, with impactful use cases such as
+ Autonomous agents for omnichannel engagement
+ AI & GenAI driven transformation of market access and payer strategies
+ Conversational AI for data interactions and insights (Talk-to-data capabilities)
+ Development of unified platform of sales, marketers and MSL users powered by multi-agent systems
+ Enhancing the patient journey through intelligent and personalized support
+ Work closely with product owners, business stakeholders, data scientists, and engineering teams to deliver the genAI products that create measurable business value
+ Provide critical input in shaping the digital Commercial AI strategy
+ Influence the AI platform and data foundation strategies
+ Use creative ways to tell stories to technical and non-technical audiences
+ Make sure that AI solutions stay compliant with the responsible AI framework
+ Adhere to and promote to best practices and standards for GenAI/Agentic AI process (including documentation) and code developments
+ Remains up to date with evolving GenAI, Agentic AI and other AI landscape, bring in best practices, tools and other innovative ideas to enhance existing solutions
+ Publish whitepaper and Patent on innovation in AI in commercial space
+ Mentor and coach junior data scientists and interns
**About You**
**Required Qualifications:**
+ PhD or Master's in computer science, AI/ML, mathematics, physics, Computational Linguistic or a related field.
+ 7+ years of experience in applied AI/ML, with 2+ years hands-on in GenAI or LLM-based applications and familiarity of agentic AI frameworks.
+ Strong coding skills (Python is a must, Java is a good to have) with experience of using AI libraries (e.g. Transformers, LangChain, RAG pipelines)
+ General knowledge of NLP tools like regex and fuzzy string matching
+ Proficiency in working with variety of data assets (Structured and un-structured) hosted in different databases like Snowflake, pinecone
+ Good understanding of agentic workflows, prompt engineering, and orchestration of multi-step AI steps by building AI agents Experience creating and deploying code libraries using functions, classes in Python in AI product-focused development under an agile environment
+ Experience in production-ready model & software development
+ Deep understanding on managing AI/Gen-AI end-to-end life-cycle management
+ Experience working in cloud-based environment such as AWS or GCP or Azure and using cloud-technologies and native ML/GenAI tools for building AI-solutions
+ Experience with various enterprise-level Application Programming Interfaces (APIs)
+ Knowledge of regulatory, compliance and ethical considerations in AI/GenAI
+ Nice to be already involved in an Agile/Scrum environment and Comfortable utilizing tools like Jira & Confluence
**Functional Skills:**
+ Experience in communicating with business, expressing important AI, GenAI & Agentic AI concepts in a non-technical way, interpreting feedback from business
+ Experience in leading the data science & AI projects and working closely with junior data scientists and data analysts
+ Identify and manage blockers, risks, and interdependencies across Agile teams
+ Excellent written and verbal communication, business analysis, data visualization and data storytelling skills
+ Nice to have experience in life sciences and healthcare and experience in a complex global organization
+ A demonstrated ability to work and collaborate in a team environment, working with multi-cultural global team
+ Ability to work in a fast-paced, constantly evolving environment and to manage multiple priorities
+ Fluent in English (Other languages a plus)
**Why Choose Us**
+ An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team
+ An attractive, market-oriented salary and other benefits
+ Flexible home office policy, with a possibility to work up to 40% of time from home / where you can easily schedule your office days
+ Collective life and accident insurance
+ Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact
+ Exposure to training and certification pathways for technical and functional skills from AWS, SnowFlake, Informatica and others
+ An individual and well-structured introduction and training of new employees and we will dedicate a Buddy for you to better navigate in your first weeks
+ Your own career path within Sanofi. Your professional and personal development will be supported purposefully
This position is for a current vacant role that we are actively hiring for.
Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.
#GD-SP
#LI-SP
#LI-Hybrid
#DBBCA
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
_North America Applicants Only_
The salary range for this position is:
$125,300.00 - $08,800.00
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK ( .
La fourchette salariale pour ce poste est la suivante:
125,300.00 - 208,800.00
Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociau de l'enterprise. Des informations supplémentaires sur les avantages sont disponibles via le lien ( .
Global Terms & Conditions and Data Privacy Statement ( is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.
With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting or via our movie We are Sanofi ( an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
All in for Diversity, Equity and Inclusion at Sanofi - YouTube (
**Position Title:** Lead Data Scientist
**Department** : Commercial Data Science
**Location:** Downtown Toronto, ON (Hybrid - 3 days a week onsite)
**About the Job**
Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives.
Sanofi's Digital organization's mission is to transform Sanofi into a data-first and AI first organization by empowering everyone with good data. Through custom developed AI products built on world class data foundations and platforms, the team builds value and a unique competitive advantage that scales across our markets, R&D and manufacturing sites. The team is located in major hubs in Paris, Lyon, Barcelona, Cambridge, Bridgewater, Toronto, Budapest and Hyderabad. Join a dynamic, fast paced and talented team, with world class mentorship, using AI to chase the miracle of science.
We are seeking a highly skilled and visionary **Lead data scientist** to drive innovation and impact at the intersection of AI and Commercial Pharma operations. This role will be a part of the Digital Commercial Advanced Analytics and AI team, which operates under the Digital Global Business Units and is an integral part of Sanofi Digital Organization.
We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?
**Main Responsibilities:**
+ Lead design, development and deployment of scalable AI, GenAI and agentic AI solutions aligned with strategic priorities across Sanofi's Global Business Units
+ Directly contribute to digital transformation of commercial functions, with impactful use cases such as
+ Autonomous agents for omnichannel engagement
+ AI & GenAI driven transformation of market access and payer strategies
+ Conversational AI for data interactions and insights (Talk-to-data capabilities)
+ Development of unified platform of sales, marketers and MSL users powered by multi-agent systems
+ Enhancing the patient journey through intelligent and personalized support
+ Work closely with product owners, business stakeholders, data scientists, and engineering teams to deliver the genAI products that create measurable business value
+ Provide critical input in shaping the digital Commercial AI strategy
+ Influence the AI platform and data foundation strategies
+ Use creative ways to tell stories to technical and non-technical audiences
+ Make sure that AI solutions stay compliant with the responsible AI framework
+ Adhere to and promote to best practices and standards for GenAI/Agentic AI process (including documentation) and code developments
+ Remains up to date with evolving GenAI, Agentic AI and other AI landscape, bring in best practices, tools and other innovative ideas to enhance existing solutions
+ Publish whitepaper and Patent on innovation in AI in commercial space
+ Mentor and coach junior data scientists and interns
**About You**
**Required Qualifications:**
+ PhD or Master's in computer science, AI/ML, mathematics, physics, Computational Linguistic or a related field.
+ 7+ years of experience in applied AI/ML, with 2+ years hands-on in GenAI or LLM-based applications and familiarity of agentic AI frameworks.
+ Strong coding skills (Python is a must, Java is a good to have) with experience of using AI libraries (e.g. Transformers, LangChain, RAG pipelines)
+ General knowledge of NLP tools like regex and fuzzy string matching
+ Proficiency in working with variety of data assets (Structured and un-structured) hosted in different databases like Snowflake, pinecone
+ Good understanding of agentic workflows, prompt engineering, and orchestration of multi-step AI steps by building AI agents Experience creating and deploying code libraries using functions, classes in Python in AI product-focused development under an agile environment
+ Experience in production-ready model & software development
+ Deep understanding on managing AI/Gen-AI end-to-end life-cycle management
+ Experience working in cloud-based environment such as AWS or GCP or Azure and using cloud-technologies and native ML/GenAI tools for building AI-solutions
+ Experience with various enterprise-level Application Programming Interfaces (APIs)
+ Knowledge of regulatory, compliance and ethical considerations in AI/GenAI
+ Nice to be already involved in an Agile/Scrum environment and Comfortable utilizing tools like Jira & Confluence
**Functional Skills:**
+ Experience in communicating with business, expressing important AI, GenAI & Agentic AI concepts in a non-technical way, interpreting feedback from business
+ Experience in leading the data science & AI projects and working closely with junior data scientists and data analysts
+ Identify and manage blockers, risks, and interdependencies across Agile teams
+ Excellent written and verbal communication, business analysis, data visualization and data storytelling skills
+ Nice to have experience in life sciences and healthcare and experience in a complex global organization
+ A demonstrated ability to work and collaborate in a team environment, working with multi-cultural global team
+ Ability to work in a fast-paced, constantly evolving environment and to manage multiple priorities
+ Fluent in English (Other languages a plus)
**Why Choose Us**
+ An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team
+ An attractive, market-oriented salary and other benefits
+ Flexible home office policy, with a possibility to work up to 40% of time from home / where you can easily schedule your office days
+ Collective life and accident insurance
+ Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact
+ Exposure to training and certification pathways for technical and functional skills from AWS, SnowFlake, Informatica and others
+ An individual and well-structured introduction and training of new employees and we will dedicate a Buddy for you to better navigate in your first weeks
+ Your own career path within Sanofi. Your professional and personal development will be supported purposefully
This position is for a current vacant role that we are actively hiring for.
Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.
#GD-SP
#LI-SP
#LI-Hybrid
#DBBCA
**Pursue** **_progress_** **, discover** **_extraordinary_**
Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.
At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
Watch our ALL IN video ( and check out our Diversity Equity and Inclusion actions at sanofi.com ( !
_North America Applicants Only_
The salary range for this position is:
$125,300.00 - $08,800.00
All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK ( .
La fourchette salariale pour ce poste est la suivante:
125,300.00 - 208,800.00
Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociau de l'enterprise. Des informations supplémentaires sur les avantages sont disponibles via le lien ( .
Global Terms & Conditions and Data Privacy Statement ( is dedicated to supporting people through their health challenges. We are a global biopharmaceutical company focused on human health. We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering. We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.
With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe. Discover more about us visiting or via our movie We are Sanofi ( an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life. We are constantly moving and growing, making sure our people grow with us. Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.
All in for Diversity, Equity and Inclusion at Sanofi - YouTube (
This advertiser has chosen not to accept applicants from your region.
0
Lead Data Scientist
Montréal, Quebec
Fluid - Solutions de Talents/Workforce Solutions
Posted today
Job Viewed
Job Description
Job Description
Job Description
Rôle: Lead Data Scientist
Poste permanent
Montreal, Quebec
Hybride
Job description
Aperçu du poste : Le Lead Data Scientist occupe un rôle clé dans lorganisation de notre client. Vous serez responsable d'encadrer une équipe de data scientists, de définir la stratégie d'analyse des données et de concevoir des modèles avancés d'intelligence artificielle et d'apprentissage automatique. Vous travaillerez en étroite collaboration avec les équipes techniques, commerciales et opérationnelles pour transformer les données en insights exploitables et orienter les décisions stratégiques.
Principales responsabilités :
- Définir, implémenter et gérer la stratégie de science des données et d'intelligence artificielle.
- Encadrer, développer et inspirer une équipe de data scientists afin de livrer des solutions analytiques à forte valeur ajoutée.
- Concevoir et mettre en production des modèles dapprentissage automatique robustes, évolutifs et performants.
- Collaborer étroitement avec les équipes techniques pour assurer l'intégration des modèles et des analyses au sein des systèmes d'information existants.
- Communiquer efficacement les résultats analytiques et fournir des recommandations claires aux équipes dirigeantes et aux parties prenantes.
- Assurer une veille technologique constante afin dintégrer les meilleures pratiques et les dernières innovations en matière de science des données.
- Promouvoir la gouvernance des données et assurer la qualité, la sécurité et l'éthique dans l'utilisation des données.
Qualifications requises :
- Diplôme universitaire supérieur (maîtrise ou doctorat) en informatique, statistiques, mathématiques appliquées, intelligence artificielle ou domaine connexe.
- Minimum de 5 ans dexpérience en data science, incluant une expérience significative en gestion déquipe.
- Expertise approfondie en apprentissage automatique, deep learning et analyse prédictive.
- Compétence éprouvée en programmation Python, maîtrise des librairies de data science (TensorFlow, PyTorch, scikit-learn).
- Expérience confirmée avec les outils de gestion des données (SQL, NoSQL, plateformes Big Data).
- Excellentes aptitudes en communication, vulgarisation et présentation des résultats techniques.
- Fortes compétences analytiques, orientation résultats, capacité à résoudre des problèmes complexes.
- Leadership reconnu, capacité à fédérer et à mobiliser les équipes autour dobjectifs communs.
Pourquoi nous rejoindre :
- Vous intégrerez une équipe innovante et passionnée par l'intelligence artificielle et l'analyse de données.
- Opportunités réelles de développement professionnel et de montée en compétences.
- Environnement de travail dynamique où vos contributions auront un impact concret sur la stratégie d'entreprise.
Fluid vous remercie de l'intérêt que vous portez à cette opportunité. Toutefois, seuls les candidats possédant les compétences requises seront contactés.
Fluid souscrit aux principes d'égalité d'accès à l'emploi et d'action positive. Nous accueillons et encourageons la diversité sur notre lieu de travail.
Les candidats doivent être qualifiés pour travailler au Canada.
This advertiser has chosen not to accept applicants from your region.
1
Lead Data Scientist
Toronto, Ontario
Fusemachines
Posted today
Job Viewed
Job Description
Job Description
Job Description
About Fusemachines
Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 450 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world.
About the role
This is remote, full-time
A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams.
Responsibilites:
- Lead a team of data scientists to develop innovative solutions to complex business problems.
- Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions.
- Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue.
- Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems.
- Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner.
- Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems.
- Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work.
- Responsible for developing, implementing, and managing the end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability.
Requirements for the role
- Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field.
- 8+ years experience in Data Scientist or Machine learning.
- Strong programming skills in languages such as Python, R, C++, and SQL.
- Hands-on experience with ML frameworks, such as PyTorch, or Tensorflow
- Experience with cloud compute environments such as AWS, GCP, Azure
- Experience leading data science teams.
- Ability to work independently and manage multiple projects simultaneously.
- Strong problem-solving skills and attention to detail.
- Excellent communication skills both written and verbal.
- Experience in industries such as finance, healthcare, e-commerce, retail, or marketing is a plus.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
Powered by JazzHR
pfJNcNaBUL
This advertiser has chosen not to accept applicants from your region.
2
Lead Data Scientist- Supply Chain
Toronto, Ontario
Tiger Analytics
Posted today
Job Viewed
Job Description
Job Description
Job Description
Tiger Analytics is looking for an experienced Senior Data Scientist to join our team. As a leading advanced analytics consulting firm, we help Fortune 500 companies generate valuable insights from their data. With our deep expertise in Data Science, Machine Learning, and AI, we deliver innovative solutions to complex business problems. As a Lead Data Scientist at Tiger Analytics, you will have the opportunity to work on cutting-edge projects, collaborate with cross-functional teams, and drive business value through advanced analytics.
Key Responsibilities:
- Accelerate and improve the entire network design process, from raw data to a model ready for running in tools like Coupa or Llamasoft.
- This involves: Getting data and identifying/correcting outliers in capacity, throughputs, and transportation costs.
- Creating models for auto-completion of missing data and new routes.
- Automating the creation of common scenarios, such as optimizing warehouse locations (deleting or adding warehouses) in a dynamic and globally applicable way.
- Connecting multiple isolated models- The core of this involves mathematical optimization models (mixed-integer linear programming).
- Combine data science with supply chain knowledge to adapt to available data.
- Develop heuristics to accelerate NP-hard network design models that currently take days to run.
- The goal is to automate the running of hundreds of models in the background to provide possible improvements without manual intervention.
- Supply Chain Analysis:
- Normalize historical data (3-5 years) to reflect the supply chain accurately, removing anomalies like strikes.
- Identify when and why the real supply chain deviates from the plan (root cause analysis).
- Analyze bottlenecks in the supply chain.
- Find "general insights" that analysts might not know to look for, such as unexpected correlations between events across different parts of the supply chain (e.g., promotions in Luxembourg causing stockouts in Spain). This requires creative thinking beyond simple correlation due to the complexity and temporal aspects of the global supply chain.
- Identify trends where things are operating outside of normal parameters for any KPI or action in the supply chain
Requirements
- Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 7+ years of experience in Data Science and Machine Learning.
- 7+ years of hands-on experience in Python and PySpark.
- Strong stakeholder management skills, including engagement with business units and vendors.
- Data Science: Strong expertise in developing supervised and unsupervised ML models, with knowledge of time series and demand forecasting being a plus.
- Industry- Supply chain is must have.
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
This advertiser has chosen not to accept applicants from your region.
3
Intern, Aircraft Maintenance Data Analysis (Winter 2026)
Dorval, Quebec
Bombardier
Posted 4 days ago
Job Viewed
Job Description
**Innovation is in our DNA. is it in yours?**
Bombardier is a global leader in aviation, creating innovative and game-changing planes. Our products and services provide world-class experiences that set new standards in passenger comfort, energy efficiency, reliability and safety. We are a global organization focused on working together with a team spirit.
**Your boarding pass will include.**
Several conferences, including:
+ Meet An Executive
+ Women Taking Flight
Learning more about Bombardier, including:
+ Bombardier Products conference
+ Visits of the Bombardier sites
+ Bombardier Academy of Learning
Many social/networking opportunities, including:
+ Volunteering
+ Networking for Success
+ 5 à 7, Potluck, and much more!
**What are your contributions to the team?**
+ Support reliability data collection improvement process to ensure a high level of data accuracy and completeness.
+ Build new tools and interfaces to our data using Oracle, Access, Excel with VBA, and MS PowerBI.
+ Update and document processes and procedures as required.
**How to thrive in this role?**
+ You are currently completing a degree in Computer Science, IT/Software/Electrical/Aerospace Engineering or other related fields. Non-engineering fields will also be considered.
+ You have completed a minimum of 2 years of studies in this program.
+ You have strong analytical abilities.
+ You have in-depth technical knowledge of Microsoft Suite products
+ You have a strong understanding of how to manipulate data in MS Excel as required with VBA.
+ You have can create queries and filters in MS Access, for the purpose of engineering data analysis.
+ You have a good foundation with MS Power BI and PowerAutomate to build dashboards and reports (asset)
+ You have knowledge of SAP, Salesforce.com, Oracle, Azure, SQL, Maximo and Machine Learning (asset)
+ You possess excellent communication (English required), presentation and interpersonal skills.
+ You are a highly motivated team player with a sense of responsibility and good judgment.
**Boarding Information:**
+ Location: Administrative Centre (CA)
+ Duration: 8 months
+ Flexible workplace-Hybrid
_It is important to note that our internship opportunities are open to students only, not new graduates. All our interns may be required to occasionally travel outside of Canada for training/work purpose._
Bombardier is a global leader in aviation, creating innovative and game-changing planes. Our products and services provide world-class experiences that set new standards in passenger comfort, energy efficiency, reliability and safety. We are a global organization focused on working together with a team spirit.
**Your boarding pass will include.**
Several conferences, including:
+ Meet An Executive
+ Women Taking Flight
Learning more about Bombardier, including:
+ Bombardier Products conference
+ Visits of the Bombardier sites
+ Bombardier Academy of Learning
Many social/networking opportunities, including:
+ Volunteering
+ Networking for Success
+ 5 à 7, Potluck, and much more!
**What are your contributions to the team?**
+ Support reliability data collection improvement process to ensure a high level of data accuracy and completeness.
+ Build new tools and interfaces to our data using Oracle, Access, Excel with VBA, and MS PowerBI.
+ Update and document processes and procedures as required.
**How to thrive in this role?**
+ You are currently completing a degree in Computer Science, IT/Software/Electrical/Aerospace Engineering or other related fields. Non-engineering fields will also be considered.
+ You have completed a minimum of 2 years of studies in this program.
+ You have strong analytical abilities.
+ You have in-depth technical knowledge of Microsoft Suite products
+ You have a strong understanding of how to manipulate data in MS Excel as required with VBA.
+ You have can create queries and filters in MS Access, for the purpose of engineering data analysis.
+ You have a good foundation with MS Power BI and PowerAutomate to build dashboards and reports (asset)
+ You have knowledge of SAP, Salesforce.com, Oracle, Azure, SQL, Maximo and Machine Learning (asset)
+ You possess excellent communication (English required), presentation and interpersonal skills.
+ You are a highly motivated team player with a sense of responsibility and good judgment.
**Boarding Information:**
+ Location: Administrative Centre (CA)
+ Duration: 8 months
+ Flexible workplace-Hybrid
_It is important to note that our internship opportunities are open to students only, not new graduates. All our interns may be required to occasionally travel outside of Canada for training/work purpose._
This advertiser has chosen not to accept applicants from your region.
4
Student Intern, Smart Energy - Pricing Management and Product Data Analysis
Toronto, Ontario
Celestica
Posted 19 days ago
Job Viewed
Job Description
Req ID:
Remote Position: Hybrid
Region: Americas
Country: Canada
State/Province: Ontario
City: Toronto
**16 Month Internship**
Celestica is a global electronics manufacturing services company, headquartered in Toronto, Canada, with over 28,000 employees across 40 sites in North America, Europe, and Asia.
Working with the world's leading technology companies across a broad range of industries, Celestica delivers a full suite of services - from design and engineering, to manufacturing and supply chain management - to help its customers develop and manufacture products that are transforming the global economy. These products span key areas such as data centre technology, green energy, healthtech, and autonomous vehicles.
Working at Celestica is more than a job. It's about being part of something bigger and shaping the future with your work. You'll take on exciting and challenging projects, get hands-on experience, collaborate with a global team, and learn from some of the greatest minds in the industry. And just as we aspire to imagine, develop and deliver a better future with our customers, we're just as committed to delivering the best employee experience.
**Benefits for Students Include:**
+ Experience working for one of the largest Canadian global technology companies
+ Possibility of a student casual contract position after completion of internship
+ Possibility of a full-time position after completion of degree
+ Access to Celestica's development programs and projects
+ Celestica's Time Off to Volunteer program - two paid days off to volunteer per year
+ Fun intern activities including celebration events and networking
+ Internal recognition programs and rewards for stellar performance
**What's in it for you?**
+ **Opportunity** : Job experience at a large Canadian-based global company
+ **Innovation** : We look to our employees to implement new ideas and improve the way we do things
+ **Collaboration** : Students work as part of global teams, enabled by collaborative technology
+ **Sustainability** : We uphold strong ethics, reduce our impact on the environment and empower employees to give back to the community with two paid days off per year to volunteer
+ **Development opportunities** : including soft skills courses, innovation projects and mentorship
+ **Networking** : Strategically build your professional network to advance your career and deepen relationships across your peers and colleagues.
+ **Fun** : Our interns have the opportunity to participate in fun activities including intern social events, Celestica's charitable initiatives and our Spirit Week activities
**About this opportunity:**
The **Smart Energy - Pricing Management and Product Data Analysis Intern** will work on the engineering manufacturing team to resolve quality issues and fix any quality issues. Work is guided by detailed instructions, routines, and procedures. In the first 3 months, the intern will work under close supervision and receive detailed instructions on all work assignments. Once proficiency in the tasks is achieved, the intern will work autonomously and be given more complex duties. The intern will also have the opportunity to work with colleagues and suppliers around the globe, gaining international experience.
**Preferred Skills:**
+ Advanced proficiency in MS Office (ex. Microsoft Excel functions such as VLOOKUP, PIVOT tables, Indexing, and data analysis).
+ Strong analytical skills.
+ Strong organizational skills.
+ Strong communication skills.
+ Project management experience.
+ Excel Macros and VBA are an asset.
+ Knowledge of SQL programming language is an asset.
**Activities:**
+ Understand content of customer Bill of Material (BOM) and Engineering drawings.
+ Read and process the customer "Approved Vendor List" (AVL).
+ Will be trained to analyze and deploy both the technical and commercial impacts of the Engineering Changes Notices (ECN).
+ Consolidate, tabulate, analyze and report on various topics, commitments, and performance metrics.
+ Communicate and report data issues and other requirements to internal and external contacts.
+ Understand and process supply chain related parameters like Lead Time (LT), Minimum Order Quantity (MOQ) and Estimated Annual Usage (EAU).
+ Participate in material bid pricing activities and interact with global customer business units.
+ Coordinate, send and negotiate quote tenders with suppliers to establish cost and set pricing.
+ Research Energy or other customers products and market trends.
+ Create presentations and reports using Excel & PowerPoint.
+ Support customers to resolve pricing management related issues for products.
+ Will have exposure to SAP and internal databases and applications. In some case will work with business and IT to maintain and develop new applications.
**Physical Demands, duties of this position are varied and will include:**
+ Duties of this position are performed in a normal office environment.
+ Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
+ Repetitive manual movements are frequently required (e.g. data entry, using a computer mouse, etc).
**Additional Details:**
**Area:** Global Supply Chain Services
**Start Date:** May 2026
**Location:** 5140 Yonge Street, Toronto, ON
**Vacancies:** 1 position
**Experience:** No formal experience required
**Education:** Currently enrolled in an Internship program completing their 3rd or 4th year specializing in Business, Finance, Computer Science, or Engineering with the intention to return to school the following year.
***As this position involves work that is subject to the Canadian Government's Controlled Goods Program (CGP), your employment offer is conditional upon the successful completion of a security assessment by Celestica and/or its authorized agents, per the Controlled Goods Regulations.**
To apply, please visit **Please provide a copy of your transcript with your application. Please include your student email address in your application.**
Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Accommodations are available upon request for candidates throughout the hiring process. If you require an accommodation, we will work with you to meet your needs.
This position involves technologies regulated by the Canadian government's Controlled Goods Program (CGP). Candidates must be Canadian citizens or permanent residents of Canada and meet all other requirements under CGP. Job offers will be conditional upon candidates undergoing a successful security screening per the Controlled Goods Regulations.
Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.
Remote Position: Hybrid
Region: Americas
Country: Canada
State/Province: Ontario
City: Toronto
**16 Month Internship**
Celestica is a global electronics manufacturing services company, headquartered in Toronto, Canada, with over 28,000 employees across 40 sites in North America, Europe, and Asia.
Working with the world's leading technology companies across a broad range of industries, Celestica delivers a full suite of services - from design and engineering, to manufacturing and supply chain management - to help its customers develop and manufacture products that are transforming the global economy. These products span key areas such as data centre technology, green energy, healthtech, and autonomous vehicles.
Working at Celestica is more than a job. It's about being part of something bigger and shaping the future with your work. You'll take on exciting and challenging projects, get hands-on experience, collaborate with a global team, and learn from some of the greatest minds in the industry. And just as we aspire to imagine, develop and deliver a better future with our customers, we're just as committed to delivering the best employee experience.
**Benefits for Students Include:**
+ Experience working for one of the largest Canadian global technology companies
+ Possibility of a student casual contract position after completion of internship
+ Possibility of a full-time position after completion of degree
+ Access to Celestica's development programs and projects
+ Celestica's Time Off to Volunteer program - two paid days off to volunteer per year
+ Fun intern activities including celebration events and networking
+ Internal recognition programs and rewards for stellar performance
**What's in it for you?**
+ **Opportunity** : Job experience at a large Canadian-based global company
+ **Innovation** : We look to our employees to implement new ideas and improve the way we do things
+ **Collaboration** : Students work as part of global teams, enabled by collaborative technology
+ **Sustainability** : We uphold strong ethics, reduce our impact on the environment and empower employees to give back to the community with two paid days off per year to volunteer
+ **Development opportunities** : including soft skills courses, innovation projects and mentorship
+ **Networking** : Strategically build your professional network to advance your career and deepen relationships across your peers and colleagues.
+ **Fun** : Our interns have the opportunity to participate in fun activities including intern social events, Celestica's charitable initiatives and our Spirit Week activities
**About this opportunity:**
The **Smart Energy - Pricing Management and Product Data Analysis Intern** will work on the engineering manufacturing team to resolve quality issues and fix any quality issues. Work is guided by detailed instructions, routines, and procedures. In the first 3 months, the intern will work under close supervision and receive detailed instructions on all work assignments. Once proficiency in the tasks is achieved, the intern will work autonomously and be given more complex duties. The intern will also have the opportunity to work with colleagues and suppliers around the globe, gaining international experience.
**Preferred Skills:**
+ Advanced proficiency in MS Office (ex. Microsoft Excel functions such as VLOOKUP, PIVOT tables, Indexing, and data analysis).
+ Strong analytical skills.
+ Strong organizational skills.
+ Strong communication skills.
+ Project management experience.
+ Excel Macros and VBA are an asset.
+ Knowledge of SQL programming language is an asset.
**Activities:**
+ Understand content of customer Bill of Material (BOM) and Engineering drawings.
+ Read and process the customer "Approved Vendor List" (AVL).
+ Will be trained to analyze and deploy both the technical and commercial impacts of the Engineering Changes Notices (ECN).
+ Consolidate, tabulate, analyze and report on various topics, commitments, and performance metrics.
+ Communicate and report data issues and other requirements to internal and external contacts.
+ Understand and process supply chain related parameters like Lead Time (LT), Minimum Order Quantity (MOQ) and Estimated Annual Usage (EAU).
+ Participate in material bid pricing activities and interact with global customer business units.
+ Coordinate, send and negotiate quote tenders with suppliers to establish cost and set pricing.
+ Research Energy or other customers products and market trends.
+ Create presentations and reports using Excel & PowerPoint.
+ Support customers to resolve pricing management related issues for products.
+ Will have exposure to SAP and internal databases and applications. In some case will work with business and IT to maintain and develop new applications.
**Physical Demands, duties of this position are varied and will include:**
+ Duties of this position are performed in a normal office environment.
+ Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
+ Repetitive manual movements are frequently required (e.g. data entry, using a computer mouse, etc).
**Additional Details:**
**Area:** Global Supply Chain Services
**Start Date:** May 2026
**Location:** 5140 Yonge Street, Toronto, ON
**Vacancies:** 1 position
**Experience:** No formal experience required
**Education:** Currently enrolled in an Internship program completing their 3rd or 4th year specializing in Business, Finance, Computer Science, or Engineering with the intention to return to school the following year.
***As this position involves work that is subject to the Canadian Government's Controlled Goods Program (CGP), your employment offer is conditional upon the successful completion of a security assessment by Celestica and/or its authorized agents, per the Controlled Goods Regulations.**
To apply, please visit **Please provide a copy of your transcript with your application. Please include your student email address in your application.**
Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Accommodations are available upon request for candidates throughout the hiring process. If you require an accommodation, we will work with you to meet your needs.
This position involves technologies regulated by the Canadian government's Controlled Goods Program (CGP). Candidates must be Canadian citizens or permanent residents of Canada and meet all other requirements under CGP. Job offers will be conditional upon candidates undergoing a successful security screening per the Controlled Goods Regulations.
Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.
This advertiser has chosen not to accept applicants from your region.
5
Student Intern, Smart Energy - Account Focused, Pricing Management and Product Data Analysis
Toronto, Ontario
Celestica
Posted 26 days ago
Job Viewed
Job Description
Req ID:
Remote Position: Hybrid
Region: Americas
Country: Canada
State/Province: Ontario
City: Toronto
**16 Month Internship**
Celestica is a global electronics manufacturing services company, headquartered in Toronto, Canada, with over 28,000 employees across 40 sites in North America, Europe, and Asia.
Working with the world's leading technology companies across a broad range of industries, Celestica delivers a full suite of services - from design and engineering, to manufacturing and supply chain management - to help its customers develop and manufacture products that are transforming the global economy. These products span key areas such as data centre technology, green energy, healthtech, and autonomous vehicles.
Working at Celestica is more than a job. It's about being part of something bigger and shaping the future with your work. You'll take on exciting and challenging projects, get hands-on experience, collaborate with a global team, and learn from some of the greatest minds in the industry. And just as we aspire to imagine, develop and deliver a better future with our customers, we're just as committed to delivering the best employee experience.
**Benefits for Students Include:**
+ Experience working for one of the largest Canadian global technology companies
+ Possibility of a student casual contract position after completion of internship
+ Possibility of a full-time position after completion of degree
+ Access to Celestica's development programs and projects
+ Celestica's Time Off to Volunteer program - two paid days off to volunteer per year
+ Fun intern activities including celebration events and networking
+ Internal recognition programs and rewards for stellar performance
**What's in it for you?**
+ **Opportunity:** Job experience at a large Canadian-based global company
+ **Innovation:** We look to our employees to implement new ideas and improve the way we do things
+ **Collaboration:** Students work as part of global teams, enabled by collaborative technology
+ **Sustainability:** We uphold strong ethics, reduce our impact on the environment and empower employees to give back to the community with two paid days off per year to volunteer
+ **Development opportunities:** including soft skills courses, innovation projects and mentorship
+ **Networking:** Strategically build your professional network to advance your career and deepen relationships across your peers and colleagues.
+ **Fun:** Our interns have the opportunity to participate in fun activities including intern social events, Celestica's charitable initiatives and our Spirit Week activities
**About this Opportunity:**
The **Smart Energy - Account Focused, Pricing Management and Product Data Analysis Intern** will work on the engineering manufacturing team to resolve quality issues and fix any quality issues. The intern will be assigned to work with a client for the duration of the internship. Work is guided by detailed instructions, routines, and procedures. In the first 3 months, the intern will work under close supervision and receive detailed instructions on all work assignments. Once proficiency in the tasks is achieved, the intern will work autonomously and be given more complex duties. The intern will also have the opportunity to work with colleagues and suppliers around the globe, gaining international experience.
**Preferred Skills:**
+ Advanced proficiency in MS Office (ex. Microsoft Excel functions such as VLOOKUP, PIVOT tables, Indexing, and data analysis).
+ Strong analytical skills.
+ Strong organizational skills.
+ Strong communication skills.
+ Project management experience.
+ Excel Macros and VBA are an asset.
+ Knowledge of SQL programming language is an asset.
**Activities:**
+ Understand content of customer Bill of Material (BOM) and Engineering drawings.
+ Read and process the customer "Approved Vendor List" (AVL).
+ Will be trained to analyze and deploy both the technical and commercial impacts of the Engineering Changes Notices (ECN).
+ Consolidate, tabulate, analyze and report on various topics, commitments, and performance metrics.
+ Communicate and report data issues and other requirements to internal and external contacts.
+ Understand and process supply chain related parameters like Lead Time (LT), Minimum Order Quantity (MOQ) and Estimated Annual Usage (EAU).
+ Participate in material bid pricing activities and interact with global customer business units.
+ Coordinate, send, and negotiate quote tenders with suppliers to establish cost and set pricing.
+ Researching Energy or other customers products and market trends.
+ Create presentations and reports using Excel & PowerPoint.
+ Support customers to resolve pricing management related issues for products.
+ Support internal customer requisitions and accurately input data on the products pricing information.
+ Report current, accurate data on internal databases.
+ Track prices for components, monitor the influx of data, and understand what drives cost reduction in daily activities.
+ Will have exposure to SAP and internal databases and applications. In some case will work with business and IT to maintain and develop new applications.
**Physical Demands, duties of this position are varied and will include:**
+ Duties of this position are performed in a normal office environment.
+ Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
+ Repetitive manual movements are frequently required (e.g. data entry, using a computer mouse, etc).
**Additional Details:**
**Area:** Global Supply Chain Services
**Start Date:** May 2026
**Location:** 5140 Yonge Street, Toronto, ON
**Vacancies:** 1 position
**Experience:** No formal experience required
**Education:** Currently enrolled in an Internship program completing their 3rd or 4th year specializing in Business, Finance, Computer Science, or Engineering with the intention to return to school the following year.
***As this position involves work that is subject to the Canadian Government's Controlled Goods Program (CGP), your employment offer is conditional upon the successful completion of a security assessment by Celestica and/or its authorized agents, per the Controlled Goods Regulations.**
To apply, please visit **Please provide a copy of your transcript with your application. Please include your student email address in your application.**
Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Accommodations are available upon request for candidates throughout the hiring process. If you require an accommodation, we will work with you to meet your needs.
This position involves technologies regulated by the Canadian government's Controlled Goods Program (CGP). Candidates must be Canadian citizens or permanent residents of Canada and meet all other requirements under CGP. Job offers will be conditional upon candidates undergoing a successful security screening per the Controlled Goods Regulations.
Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.
Remote Position: Hybrid
Region: Americas
Country: Canada
State/Province: Ontario
City: Toronto
**16 Month Internship**
Celestica is a global electronics manufacturing services company, headquartered in Toronto, Canada, with over 28,000 employees across 40 sites in North America, Europe, and Asia.
Working with the world's leading technology companies across a broad range of industries, Celestica delivers a full suite of services - from design and engineering, to manufacturing and supply chain management - to help its customers develop and manufacture products that are transforming the global economy. These products span key areas such as data centre technology, green energy, healthtech, and autonomous vehicles.
Working at Celestica is more than a job. It's about being part of something bigger and shaping the future with your work. You'll take on exciting and challenging projects, get hands-on experience, collaborate with a global team, and learn from some of the greatest minds in the industry. And just as we aspire to imagine, develop and deliver a better future with our customers, we're just as committed to delivering the best employee experience.
**Benefits for Students Include:**
+ Experience working for one of the largest Canadian global technology companies
+ Possibility of a student casual contract position after completion of internship
+ Possibility of a full-time position after completion of degree
+ Access to Celestica's development programs and projects
+ Celestica's Time Off to Volunteer program - two paid days off to volunteer per year
+ Fun intern activities including celebration events and networking
+ Internal recognition programs and rewards for stellar performance
**What's in it for you?**
+ **Opportunity:** Job experience at a large Canadian-based global company
+ **Innovation:** We look to our employees to implement new ideas and improve the way we do things
+ **Collaboration:** Students work as part of global teams, enabled by collaborative technology
+ **Sustainability:** We uphold strong ethics, reduce our impact on the environment and empower employees to give back to the community with two paid days off per year to volunteer
+ **Development opportunities:** including soft skills courses, innovation projects and mentorship
+ **Networking:** Strategically build your professional network to advance your career and deepen relationships across your peers and colleagues.
+ **Fun:** Our interns have the opportunity to participate in fun activities including intern social events, Celestica's charitable initiatives and our Spirit Week activities
**About this Opportunity:**
The **Smart Energy - Account Focused, Pricing Management and Product Data Analysis Intern** will work on the engineering manufacturing team to resolve quality issues and fix any quality issues. The intern will be assigned to work with a client for the duration of the internship. Work is guided by detailed instructions, routines, and procedures. In the first 3 months, the intern will work under close supervision and receive detailed instructions on all work assignments. Once proficiency in the tasks is achieved, the intern will work autonomously and be given more complex duties. The intern will also have the opportunity to work with colleagues and suppliers around the globe, gaining international experience.
**Preferred Skills:**
+ Advanced proficiency in MS Office (ex. Microsoft Excel functions such as VLOOKUP, PIVOT tables, Indexing, and data analysis).
+ Strong analytical skills.
+ Strong organizational skills.
+ Strong communication skills.
+ Project management experience.
+ Excel Macros and VBA are an asset.
+ Knowledge of SQL programming language is an asset.
**Activities:**
+ Understand content of customer Bill of Material (BOM) and Engineering drawings.
+ Read and process the customer "Approved Vendor List" (AVL).
+ Will be trained to analyze and deploy both the technical and commercial impacts of the Engineering Changes Notices (ECN).
+ Consolidate, tabulate, analyze and report on various topics, commitments, and performance metrics.
+ Communicate and report data issues and other requirements to internal and external contacts.
+ Understand and process supply chain related parameters like Lead Time (LT), Minimum Order Quantity (MOQ) and Estimated Annual Usage (EAU).
+ Participate in material bid pricing activities and interact with global customer business units.
+ Coordinate, send, and negotiate quote tenders with suppliers to establish cost and set pricing.
+ Researching Energy or other customers products and market trends.
+ Create presentations and reports using Excel & PowerPoint.
+ Support customers to resolve pricing management related issues for products.
+ Support internal customer requisitions and accurately input data on the products pricing information.
+ Report current, accurate data on internal databases.
+ Track prices for components, monitor the influx of data, and understand what drives cost reduction in daily activities.
+ Will have exposure to SAP and internal databases and applications. In some case will work with business and IT to maintain and develop new applications.
**Physical Demands, duties of this position are varied and will include:**
+ Duties of this position are performed in a normal office environment.
+ Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
+ Repetitive manual movements are frequently required (e.g. data entry, using a computer mouse, etc).
**Additional Details:**
**Area:** Global Supply Chain Services
**Start Date:** May 2026
**Location:** 5140 Yonge Street, Toronto, ON
**Vacancies:** 1 position
**Experience:** No formal experience required
**Education:** Currently enrolled in an Internship program completing their 3rd or 4th year specializing in Business, Finance, Computer Science, or Engineering with the intention to return to school the following year.
***As this position involves work that is subject to the Canadian Government's Controlled Goods Program (CGP), your employment offer is conditional upon the successful completion of a security assessment by Celestica and/or its authorized agents, per the Controlled Goods Regulations.**
To apply, please visit **Please provide a copy of your transcript with your application. Please include your student email address in your application.**
Celestica is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on any protected status (including race, religion, national origin, gender, sexual orientation, age, marital status, veteran or disability status or other characteristics protected by law).
At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Accommodations are available upon request for candidates throughout the hiring process. If you require an accommodation, we will work with you to meet your needs.
This position involves technologies regulated by the Canadian government's Controlled Goods Program (CGP). Candidates must be Canadian citizens or permanent residents of Canada and meet all other requirements under CGP. Job offers will be conditional upon candidates undergoing a successful security screening per the Controlled Goods Regulations.
Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.
This advertiser has chosen not to accept applicants from your region.
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6
Machine Learning Engineer
Vancouver, British Columbia
Mastercard
Posted 4 days ago
Job Viewed
Job Description
**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**
Machine Learning Engineer
The Security Solutions Data Science team is responsible for creating Artificial Intelligence (AI) and Machine Learning (ML) models backing its flagship product. The models generated are production ready and created to back specific products in Mastercard's authentication and authorization networks. The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes must be designed to scale, to be repeatable, resilient, and industrialized.
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.
You will be joining a team of Data Scientists and engineers working on innovative AI and ML fraud detection. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech and payments processing. We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge AI model evaluation and reporting processes.
As a Machine Learning Engineer, you will:
- Collaborate closely with data scientists to understand the current modeling pipeline and identify optimization opportunities.
- Develop ML Tools that scale that solve complex problems for Data Scientists in the modeling teams
- Develop and maintain high-throughput computation engines that is able to handle petabytes of data
- Assist the deployment team to deploy and validate production artifacts.
- Identify patterns and innovative solutions in existing spaces, consistently seeking opportunities to simplify, automate tasks, and build reusable components for multiple use cases and teams.
- Create products that are well-architected, thoroughly documented, and easy to understand and maintain.
All About You:
- Good knowledge of Linux / Bash environment
- Experience in the following platforms: Python, Pyspark, Airflow, CI/CD, JIRA, Hadoop, SQL, Databricks, Ray
- Good communication skills
- Highly skilled problem solver
- Exhibits a high degree of initiative
- At least an undergraduate degree in CS, or a STEM related field
Nice to have:
- Graduate degree in CS, Data Science, Machine Learning, AI or a related STEM field
- Data Science Experience
- Experience with C++ and/or Rust
- Understands and implements methods to evaluate own work and others for error
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.
**Pay Ranges**
Vancouver, Canada: $88,000 - $141,000 CAD
_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**
Machine Learning Engineer
The Security Solutions Data Science team is responsible for creating Artificial Intelligence (AI) and Machine Learning (ML) models backing its flagship product. The models generated are production ready and created to back specific products in Mastercard's authentication and authorization networks. The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes must be designed to scale, to be repeatable, resilient, and industrialized.
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.
You will be joining a team of Data Scientists and engineers working on innovative AI and ML fraud detection. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech and payments processing. We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge AI model evaluation and reporting processes.
As a Machine Learning Engineer, you will:
- Collaborate closely with data scientists to understand the current modeling pipeline and identify optimization opportunities.
- Develop ML Tools that scale that solve complex problems for Data Scientists in the modeling teams
- Develop and maintain high-throughput computation engines that is able to handle petabytes of data
- Assist the deployment team to deploy and validate production artifacts.
- Identify patterns and innovative solutions in existing spaces, consistently seeking opportunities to simplify, automate tasks, and build reusable components for multiple use cases and teams.
- Create products that are well-architected, thoroughly documented, and easy to understand and maintain.
All About You:
- Good knowledge of Linux / Bash environment
- Experience in the following platforms: Python, Pyspark, Airflow, CI/CD, JIRA, Hadoop, SQL, Databricks, Ray
- Good communication skills
- Highly skilled problem solver
- Exhibits a high degree of initiative
- At least an undergraduate degree in CS, or a STEM related field
Nice to have:
- Graduate degree in CS, Data Science, Machine Learning, AI or a related STEM field
- Data Science Experience
- Experience with C++ and/or Rust
- Understands and implements methods to evaluate own work and others for error
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.
**Pay Ranges**
Vancouver, Canada: $88,000 - $141,000 CAD
This advertiser has chosen not to accept applicants from your region.
7
Machine Learning Engineer
Toronto, Ontario
TD Bank
Posted 27 days ago
Job Viewed
Job Description
**Work Location:**
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Analytics, Insights, & Artificial Intelligence
**Pay Details:**
$120,000 - $250,000 CAD
The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
**Job Description:**
**We are currently seeking talented individuals for a variety of positions, ranging from junior to senior levels, and will evaluate your application in its entirety.**
Layer 6 is the AI center of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.
Our work spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty. We are driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.
We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning applied to the real world. Work with large-scale, real-world datasets spanning multiple modalities, ranging from banking transactions, conversation transcripts to large document collections.
As a Machine Learning Engineer, you will:
+ Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge
+ Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability
+ Write clean, efficient, and maintainable code for ML models to ensure efficient deployment of scalable AI application
+ Work with large-scale, real-world datasets that range from banking transactions, conversation histories, to large document collections
+ Grow by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge-sharing
**Required Qualifications:**
+ Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field
+ 3+ years of developer experience shipping code in production settings
+ Strong background in machine learning and deep learning
+ Strong coding proficiency in Python, Java, C, or C++ You value good software design and sweat over details in code and API design
+ You take great personal pride in building robust and scalable software
+ You are highly accountable and have a strong sense of ownership
+ You strive to communicate clearly and with empathy
**Preferred Qualifications:**
+ Research experience with publication record
+ Experience with LangGraph, Pytorch, Tensorflow, Jax, or comparable library
+ Experience with building and scaling data-intensive software
+ Experience using GPUs for accelerated deep learning training
**Who We Are:**
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you.
**Our Total Rewards Package**
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more ( Information:**
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
**Colleague Development**
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals.
**Training & Onboarding**
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
**Interview Process**
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
**Accommodation**
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!
**Language Requirement (Quebec only):**
Sans Objet
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.
Toronto, Ontario, Canada
**Hours:**
37.5
**Line of Business:**
Analytics, Insights, & Artificial Intelligence
**Pay Details:**
$120,000 - $250,000 CAD
The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
**Job Description:**
**We are currently seeking talented individuals for a variety of positions, ranging from junior to senior levels, and will evaluate your application in its entirety.**
Layer 6 is the AI center of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.
Our work spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty. We are driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.
We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning applied to the real world. Work with large-scale, real-world datasets spanning multiple modalities, ranging from banking transactions, conversation transcripts to large document collections.
As a Machine Learning Engineer, you will:
+ Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge
+ Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability
+ Write clean, efficient, and maintainable code for ML models to ensure efficient deployment of scalable AI application
+ Work with large-scale, real-world datasets that range from banking transactions, conversation histories, to large document collections
+ Grow by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge-sharing
**Required Qualifications:**
+ Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field
+ 3+ years of developer experience shipping code in production settings
+ Strong background in machine learning and deep learning
+ Strong coding proficiency in Python, Java, C, or C++ You value good software design and sweat over details in code and API design
+ You take great personal pride in building robust and scalable software
+ You are highly accountable and have a strong sense of ownership
+ You strive to communicate clearly and with empathy
**Preferred Qualifications:**
+ Research experience with publication record
+ Experience with LangGraph, Pytorch, Tensorflow, Jax, or comparable library
+ Experience with building and scaling data-intensive software
+ Experience using GPUs for accelerated deep learning training
**Who We Are:**
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.
TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you.
**Our Total Rewards Package**
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more ( Information:**
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.
Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.
**Colleague Development**
If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals.
**Training & Onboarding**
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.
**Interview Process**
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
**Accommodation**
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!
**Language Requirement (Quebec only):**
Sans Objet
Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.
This advertiser has chosen not to accept applicants from your region.
8
Machine Learning Engineer
Vancouver, British Columbia
Apera AI Inc
Posted today
Job Viewed
Job Description
Job Description
Job Description
We are an innovative, Vancouver-based startup at the forefront of robotics, AI, and machine vision technologies. Backed by VC funding and we've been recognized with the 2025 Frost & Sullivan Technology Innovation Leadership Award, the AAM Supplier Excellence Innovation Award, and the 2024 BC Tech "Company of the Year – Growth", we are on a mission to redefine the future of AI-driven robotic vision systems. Apera AI helps manufacturers make their factories more flexible and productive. Robots enhanced with Apera's software have 4D Vision – the ability to see and handle objects with human-like capability. Challenging applications such as bin picking, sorting, packaging, and assembly are now open to fast, precise, and reliable automation. Apera is led by an experienced team from high-growth companies focused on robotics, artificial intelligence, and advanced manufacturing.
Apera AI is building the future of robotics and AI right here in Vancouver.
Let's End Robot Blindness
Robots can do amazing things, if they can see. That's where you come in.
We're Apera AI. Our breakthrough vision systems turn blind robots into intelligent, adaptable workers. But that transformation doesn't happen without people, especially the ones who teach robots how to learn from data and see the world clearly.
We're looking for a Machine Learning Engineer - Synthetic Data & Training Pipeline to build the systems that connect data quality to model performance. Someone who thrives on experimentation, automation, and impact, turning messy data into intelligence that works on real factory floors.
This is an engineering-first role, not pure research, not isolated modeling. You'll design scalable data pipelines, automate training, and make sure our models trained in simulation succeed in the real world.
What You'll Actually Do
- Build and scale synthetic data generation pipelines that feed our 4D vision models.
- Design and automate ML workflows for data processing, training, and evaluation.
- Experiment with new augmentation and domain adaptation techniques that boost model robustness.
- Collaborate with applied scientists, simulation engineers, and artists to bring data-driven ideas to life.
- Create internal tools for dataset tracking, experiment reproducibility, and training diagnostics.
- Continuously improve - apply AI-driven analytics to optimize data, accelerate iteration, and strengthen model reliability.
Why This is a Career Move (Not Just a Job)
At Apera, we don't just build robots, we build the intelligence that lets them see, adapt, and perform.
Here's what makes this role special:
- It's not just data - it's trust. The pipelines you build decide how confidently manufacturers rely on automation.
- You'll grow fast - at the intersection of ML, simulation, and real-world robotics.
- You'll see your work in action - every factory floor running Apera Vision runs on your models.
- You'll shape how AI learns - designing systems that make synthetic-to-real training faster, smarter, and more scalable.
What We're Looking For
- 3+ years of experience in machine learning, computer vision, or data pipeline development
- Proficiency with Python and ML frameworks (PyTorch, TensorFlow, or similar)
- Experience building or maintaining synthetic data or simulation-based training pipelines
- Strong understanding of dataset design, augmentation, and experiment tracking
- Hands-on experience with CI/CD, cloud ML tools, or data orchestration frameworks
Bonus points if you have:
- Experience with domain adaptation, data-centric AI, or 3D rendering tool.
- Familiarity with robotics, simulation environments, or digital twins
Why Apera?
- Competitive salary in the range of $100,000 - $130,000 CAD , plus equity and comprehensive benefits.
- Equity for every employee - you share in what we build
- Comprehensive health, dental, and vision coverage
- A chance to make a difference.
At Apera AI, every employee owns equity, because those who build the future should share in its upside. Join us to make robotics more accessible, predictable, and powerful.
This advertiser has chosen not to accept applicants from your region.
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