1,050 AI Software jobs in Canada

Job Description
We are seeking a skilled Data Science Consultant for a two-month engagement to build a classification and scoring model in Dataiku, aimed at categorizing free-text medical insight records into quality tiers. The ideal candidate will bring strong expertise in NLP, machine learning, and model deployment, with hands-on experience in Python or R within Dataiku. This role requires someone who can provide strategic guidance, work independently, and deliver impactful results quickly.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements
- Proven experience building and deploying classification models, ideally in healthcare or similar domains.
- Hands-on expertise with Dataiku, including scripting in Python or R.
- Strong background in Natural Language Processing (NLP) and working with free-text data.
- Familiarity with traditional machine learning approaches; experience with GenAI is a plus but not required.
- Demonstrated ability to work independently, take initiative, and deliver results in a short time frame.
- Experience maintaining models for long-term use is a bonus.

Data Science Student
**The future you want is within reach.**
At PCL, we build the places where life happens and find camaraderie in the process. We're a community of builders committed to building better communities. That's why we're always looking ahead, and not just to the next project or what's next in our industry.
We're also looking at what's next for you and how we can help you build a career you're proud of. As a student at PCL, you will get the opportunity for challenging work assignments in a supportive work environment which promotes personal and professional growth.
We are seeking a **Data Science Student** for our **Canadian Industrial Division** district office **in Edmonton, AB,** that is available for **4 or 8 months** starting in **January 2026** . This position will be under the direct supervision of the **Manager, Data Science** .
**Please note remote work is not available for this position.**
As a **Data Science Student** , you will contribute to our team by:
**Responsibilities**
- Gain proficiency in exploratory data analysis, perform it, and present insights.
- Prepare data sets for visualization and machine learning modeling.
- Train machine learning systems using data annotation and benchmarking techniques.
- Help your colleagues assess AI/ML model performance and propose paths for potential improvement.
- Prepare data visualizations using industry-leading tools to summarize results for stakeholders.
- Document your results - tell the story of the work, the successes, and the lessons-learned for posterity.
- Keep an open mind, in order to utilize your unique skills and your determination when other opportunities arise.
**This position has a twist.** Contingent on successful early work, the team member will have a chance to build their portfolio through a capstone project. For the final two months, a portion of their time will be focused on a design-focused initiative, of value to PCL, of their choosing. You'll be supported while you:
- Develop a proposal
- Engage with the right people to inform your work
- Build your prototype or visualization
- Assess and present the results
**Qualifications**
What you will bring to the role:
- Currently enrolled in a postsecondary program
- You should be an outstanding bachelor's or mathematics student in engineering, computing, or mathematical sciences. Alternatively, you could be pursuing an MSc in a quantitative field. If your field of study differs, apply: we'd like to hear why you'll be a good fit regardless.
- Analytical skills - ability to quickly analyze data to identify and visualize key insights - as evidenced by coursework, projects, or research requiring the analysis of large datasets.
- Coursework in statistics. Applied statistics and probability are the focus of the position: if you can converse about regression models, and clustering approaches, you'll be fine.
- Prior exposure to a statistical or scientific programming environment is helpful. If you don't have it, you'll become familiar while you're with us. We have a bias for open source tech, and work with the Python scientific stack, R, PowerBI, and various data pipeline tools.
- Excellent oral and written communication skills will help. You'll work with both experts in the field and business staff, so you'll find it important to be able to communicate appropriately with both as needed.
Next Step:
- Please note that candidates who have been selected to move forward to the next stage of the recruitment process will receive an email to complete a short online video interview.
PCL is an innovative, employee-owned company comprised of people who find passion in their profession and take pride in doing great work every day. Our work powers the infrastructure and utilities that are essential to daily life and our projects are the scene of vacations, careers, education and healing. We are consistently ranked among the best companies to work for because we are committed to supporting and developing our teams.
The PCL Companies celebrate diversity and are proud to be an equal opportunity employer. We are committed to creating equitable opportunities and an inclusive environment for all employees and applicants. We make employment-related decisions without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability or veteran status.
PCL combines numerous pay and benefit strategies to provide a comprehensive and competitive total rewards package. Any salary range displayed by a job board is an estimate. Your salary, which considers your unique qualifications and experience, is just one component of the robust total rewards you'll enjoy at PCL. This may include an employee share purchase offering, discretionary annual performance bonus, comprehensive benefits and wellness programs, retirement plan plus matching, and career development programs.
Should you require an accommodation during the application process, please contact us ( ) with the position and location you are interested in.
Together, we can build success and a better future. Let's get started!
**Employee Status:** Internship Full-Time
**Company:** PCL Industrial Management Inc.
**Primary Location:** Edmonton, Alberta (Ind Mgmt)
**Job:** Data Science Student
**Requisition** : 10026

Job Description

Job Description

Company Description

ISAAC partners with North American fleets to provide a user-friendly solution that simplifies trucking. Focused 100% on the trucking industry, we help carriers overcome challenges, while boosting driver happiness. With proven system reliability and system integration capabilities driven by our open platform, our solution helps your drivers and back-office team work smoothly.

For more information, visit

Job Description

As Director of AI and Data Science, your main mission is to mobilize and integrate expertise in artificial intelligence and data science to develop and optimize concrete solutions on the ISAAC platform. You are responsible for ensuring the operational application of AI, transforming prototypes into viable commercial solutions. You work closely with users and technical teams, promoting a practical, hands-on approach. Additionally, you drive the AI product roadmap, gathering client feedback and ensuring the relevance and added value of delivered solutions, while supporting functional synergy and continuous improvement within teams.

Your benevolent leadership fosters a culture of collaboration and belonging, motivating teams to contribute to ISAAC’s success.

Responsibilities

• Define the strategy, tactics, and action plan for data science and AI integration on the ISAAC platform
• Transform prototypes into viable commercial solutions
• Identify opportunities and strategies in AI and data management
• Measure and analyze the impact of AI projects using clear performance indicators
• Collaborate with partners and clients to integrate AI into solutions
• Gather client feedback and ensure project relevance
• Manage AI projects, respecting deadlines and budgets
• Drive the AI product roadmap and collaborate with Product and Technology teams
• Define and monitor KPIs to assess the effectiveness of AI projects
• Ensure compliance with current standards and regulations
• Establish policies to guarantee data quality, security, and confidentiality
• Automate and monitor processes to maintain data quality and security
• Turn data into relevant and usable information
• Conduct ongoing technology watch and integrate relevant innovations
• Collaborate with other technology leaders to integrate innovations into processes and products
• Represent the company at technology events.

Qualifications

• University degree in data science, artificial intelligence, information technology, project management, or a related field
• 8 years of experience in AI, team management, and delivering impactful AI solutions
• Inclusive leadership and ability to mobilize, inspire, and develop talent, as well as influence internal and external partners
• Minimum 5 years of experience transforming prototypes into commercial solutions, with regulatory standards and performance tracking (KPI/ICP)
• Expertise in governance, data quality, and security in highly regulated environments
• Ability to define and implement an AI strategy aligned with business objectives, with ongoing technology watch and continuous improvement
• Mastery of French and English (Reason: multilingual external clientele)
• Technical skills: Python, R, SQL, NoSQL, data warehouses, Power BI, Tableau, Looker
• Azure AI, Google Cloud AI, AWS, MLflow, TensorFlow, PyTorch, MLOps, and CI/CD
• Knowledge of ISO standards, GDPR, LOI 25 (Quebec), and data governance frameworks (catalog, traceability, ethics, bias management)
• Mastery of agile methodologies (Scrum, Kanban) and collaboration tools (GitHub, Slack/MS Teams)
• Ability to anticipate emerging trends (generative AI, autonomous agents, multimodal models, etc.) and promote a culture of innovation and continuous improvement.

Conditions

• Occasional availability for work outside normal hours (e.g., weekends or evenings) as operational needs require

Assets

• Knowledge and understanding of road transport
• A graduate degree (Master’s or MBA) related to innovation management, advanced analytics, or digital transformation

Additional Information

Collaborators are at the center of ISAAC’s interests and values. This explains the numerous benefits of working at ISAAC, namely:

• varied career opportunities
• a stimulating work environment focused on innovation
• enthusiastic and collaborative teams
• competitive salaries and benefits promoting work-life balance: a complete group insurance plan, group RRSP, an EAP, flexible hours, 4 weeks of vacation, etc.
• various social activities and free snacks and coffee every day.

Job Description

Job Description

At OneSpan, we specialize in digital identity and anti-fraud solutions that create exceptional and secure experiences.

En tant que développeur Backend senior , vous travaillerez sur des projets nouveaux et stratégiques. Vous êtes responsable de la conception, de la mise en œuvre des services et des solutions application infonuagique native en utilisant les meilleures pratiques et les technologies les plus récentes et en participant à la mise en place d'un écosystème extensible permettant à OneSpan de mettre en place de nouveaux modèles d'affaires et de nouvelles opportunités pour développer ses activités. Rejoignez-nous et faites entendre votre voix car c'est le moment d'influencer l'avenir des offres, des produits et des services de OneSpan.

Vous communiquerez et collaborerez avec d'autres ingénieurs logiciels, des architectes de produits, des spécialistes de la sécurité et d'autres parties prenantes afin de contribuer à l'évolution du produit et d'acquérir de nouvelles connaissances et compétences.

Ce poste est ouvert aux candidats qui ont leur résidence à Montréal , Québec. Ce poste est hybride (bureau à Montréal où vous vous rendriez 2 jours par semaine).

Tâches et responsabilités du poste :

• Concevoir et développer des applications web réactives, performantes, accessibles, sécurisées et fiables basées sur React.
• Travailler sur l'ensemble de notre pile technologique basée sur Java, JavaScript, React, Maven et Docker.
• Participez à la conception du système et de l'architecture au sein d'une équipe Agile. Relever des défis, résoudre des problèmes, prendre des décisions, livrer des fonctionnalités et célébrer ensemble.
• Construire la qualité dans le produit, y compris comment et quand utiliser des tests unitaires, d'intégration et d'automatisation de bout en bout.
• Apprendre et contribuer au développement et à l'évolution de notre pipeline CI/CD construit sur AWS et GitLab.
• Vous êtes ouvert à l'apprentissage et à la contribution sur les différentes technologies de notre stack technologique.
• Fournir de la formation et du support aux différentes équipes sur l'application.

Exigences

• Baccalauréat ou maîtrise en informatique, en technologie de l'information ou dans un domaine connexe, ou toute combinaison d'études et/ou d'expérience dans ce domaine.
• Connaissance approfondie de Java et des frameworks Java tels que spring.
• Au moins trois 10 ans d'expérience dans la conception et le développement d'applications web.
• Solide expérience de la mise en production et du déploiement de bout en bout d'applications web.
• Solide expérience des outils de contrôle de version, de préférence git.
• Expérience des tests unitaires et des tests d'intégration.
• Excellentes compétences en matière de communication écrite et orale et de relations interpersonnelles.
• Capacité à travailler à la fois de manière indépendante et dans un environnement d'équipe.
• Capacité à travailler dans le respect des délais impartis à un projet dans un environnement en constante évolution.
• Maîtrise de l'anglais.

Exigences préférées :

• Expérience avec REST
• Compréhension des méthodologies Agile
• Expérience de la modélisation des données et de la conception de bases de données
• Expérience de l'informatique en nuage et de l'hébergement
• Expérience de l'enseignement et de l'orientation d'autres développeurs sur des sujets pour lesquels ils ont besoin d'être encadrés.
• Expérience de la direction de travaux techniques (conception, codage, révision, test et déploiement).
• Concevoir et mettre en œuvre des applications basées sur l'IA à l'aide de la technologie RAG (Retrieval Augmented Generation ), notamment des bases de données vectorielles, des intégrations et la récupération de contexte. Idéalement, avec des applications Java.
• Développer et intégrer des services MCP (Model Context Protocol ) pour connecter les LLM à des sources de données externes, des API et des flux de travail métier.
• Construire, affiner et optimiser des solutions à l'aide de LLM (par exemple, OpenAI, Anthropic, Cohere ou des modèles open source).
• Travailler avec AWS Bedrock pour déployer et orchestrer des modèles de base
• Intégrer les LLM aux systèmes d'entreprise et aux API tout en garantissant la sécurité, l'évolutivité et les performances.
• Collaborer avec les équipes produit et ingénierie pour concevoir des fonctionnalités et des workflows basés sur l'IA.
• Solide expérience en Python et/ou Java, pour le développement de services d'IA backend.
• Connaissance des outils infonuagique native (Docker, Kubernetes, fonctions sans serveur, files d'attente de messages).

___

As a Senior Backend Developer, you will work on new and strategic projects. You are responsible for designing, building the Cloud Native services and solutions using the latest best practices and technologies and participating in providing an extensible ecosystem allowing OneSpan to enable new business models and new opportunities to grow its business. Come join us and have your voice heard as this is the moment to influence the future of OneSpan's offerings, products, and services.

You will communicate and collaborate with other software engineers, product architects, security specialists, and other stakeholders to contribute to product evolution, and acquire new knowledge and skills.

This position is open to candidates who have their residence in Montréal , Québec. This role is hybrid (office in Montreal where you would go 2 days per week).

Job Duties and Responsibilities:

• Design and develop responsive, high performance, accessible, secure, reliable React-based web applications.
• Work on our entire tech stack based on Java, JavaScript, React, Maven and Docker.
• Participate in system and architecture design within an Agile team setting. Face challenges, solve problems, take decisions, deliver features and celebrate together.
• Build quality into the product, including how & when to use unit, integration, and end-tot-end automation tests.
• Learn about and contribute to the development and evolution of our CI/CD pipeline built atop AWS and GitLab.
• Be open to learn and contribute on various technologies in our tech stack.
• Provide training and support to different teams on the application.

AI Duties and Responsibilities:

• Design and implement AI-powered applications using RAG (Retrieval Augmented Generation) , including vector databases, embeddings, and context retrieval. Ideally, with Java applications.
• Develop and integrate MCP (Model Context Protocol) services to connect LLMs with external data sources, APIs, and business workflows.
• Build, fine-tune, and optimize solutions using LLMs (e.g., OpenAI, Anthropic, Cohere, or open-source models).
• Work with AWS Bedrock to deploy and orchestrate foundation models
• Integrate LLMs with enterprise systems and APIs while ensuring security, scalability, and performance.
• Collaborate with product and engineering teams to design AI-driven features and workflows .
• Strong experience in Python and/or Java, for backend AI service development.
• Familiarity with cloud-native tools (Docker, Kubernetes, serverless functions, message queues).

Requirements

• Master or Bachelor degree in Computer Science, Information Technology or related field or any combination of related education and/or experience.
• Minimum 10 years of experience in design/development of web applications.
• Strong experience with end-to-end release and deployment of web applications.
• Deep knowledge in Java and Java Frameworks such as spring.
• Solid experience with version control tools, preferably git.
• Experience with unit tests and integration tests frameworks.
• Excellent written, oral communication and interpersonal skills.
• Ability to work both independently and in a team-environment.
• Ability to work under critical project timelines in a fast-paced environment.
• Fluency in English.

Preferred Requirements:

• Experience with REST
• Understanding of Agile methodologies
• Experience in data modeling and database design
• Experience in cloud computing and hosting
• Experience in teaching and guiding other developers on subjects where they need mentoring.
• Experience in leading technical work (designing, coding, reviewing, testing and deploying)

Avis: Ce poste nécessite la maîtrise d'une langue autre que le français car vous serez en partenariat avec des clients internes et/ou externes hors du Québec.

Disclaimer: This position requires proficiency in a language other than French, as you will be working in partnership with internal and/or external customers outside Québec.

#LI-HW1

#LI-Hybrid

Application Deadline:

11/09/2025

Address:

33 Dundas Street West

Job Family Group:

Data Analytics & Reporting

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

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

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

Qualifications:

Intermediate level of proficiency:

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

Advanced level of proficiency:

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

Salary :

$82,800.00 - $154,800.00

Pay Type:

Salaried

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

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

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

About Us

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

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

To find out more visit us at .

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

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

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

Job Description

Job Description

Company Description

Vention helps some of the most innovative manufacturing companies automate their production floor in just a few days. Vention's manufacturing automation platform (MAP)  enables its clients to design, automate, order, and deploy manufacturing equipment directly from their web browser. Vention is headquartered in Montreal, Canada, with offices in Berlin and Boston, and is used in over 3,000 factories on 5 continents.

As one of Canada’s Most Admired Cultures we are a performance driven culture that cares deeply about our employees well being. We set ambitious goals, rely on data, and thrive on healthy debate. But we also know sustainable performance comes from a caring and uplifting environment. Both sides of our culture fuel each other—and we protect them equally.  Our values & principles include:

• We make our clients successful - we do what’s right for our customers, even when it makes our roles more challenging.
• We execute and deliver - we set ambitious goals for ourselves and are energized about meeting them.
• We debate, then commit - we challenge our own perspectives and ideas in pursuit of the best solutions.
• We innovate to inspire - we value innovation in products, user experiences, and business practices.
• We collaborate to achieve more - we work as one team to achieve more than we would on our own.
• We empower our people to reach their full potential - we hold ourselves to high standards but know when to celebrate progress & achievements

Job Description

As the Manager of Data Science and Analytics, you will lead and build a small but growing team responsible for transforming Vention’s rich data into insights that directly impact strategic decisions across the company. You’ll get your hands dirty applying data science techniques to solve high-impact problems in operations, growth, product, and customer experience - all while helping establish the data vision and infrastructure that scales with our business.

This is a unique opportunity for a strong leader and active contributor who thrives in a high-autonomy, high-impact role and is excited about growing the data function from the ground up. Today, you’ll manage one data analyst and work hands-on with engineering and business teams. Tomorrow, you’ll be scoping and leading an expanded team to meet the growing needs of the business.

This role is mission-critical to how we scale and compete. With access to a gold mine of high-value data, you’ll be instrumental in shaping strategy across the company. If you’re passionate about using data to solve real-world problems at the intersection of AI and advanced manufacturing, this is your opportunity.

What You’ll Do:

Leadership and Stakeholder Collaboration

• Manage, mentor, and grow a high-performing data team, while contributing directly to analytics and data science initiatives. Promote best practices in data management and modeling.
• Partner with business leaders to understand critical data needs, define priorities, and ensure alignment between analytics initiatives and strategic goals.
• Own the analytics roadmap and sprint planning processes. Balance quick wins with long-term capability building in line with evolving business needs.

Analytics & Insight Generation

• Drive complex data modelling and advanced analytics initiatives (including statistical modelling, forecasting, and clustering) to identify trends, optimize performance and drive growth.
• Lead the development of data visualization strategies, dashboards, and KPIs that deliver actionable insights and drive strategic business decisions. 
• Translate complex analytics into actionable recommendations for executive leadership and key stakeholders.

Data Infrastructure & Governance

• Own the development, reliability, and scalability of the company’s data infrastructure, including the data warehouse, ETL/ELT pipelines, and source system integrations.
• Ensure data accuracy and consistency while adhering to compliance and governance standards.
• Maintain documentation for data architecture, processes, and analytics methodologies.

Qualifications

What You Bring to the Table:

• 5–7 years of hands-on experience in data science or analytics, with a proven ability to lead projects, manage teams and influence business decisions.
• Bachelor’s degree in Engineering, Computer Science, Data Science, Business ANalytics  Mathematics, Statistics, or a related field
• Strong technical foundation with proficiency in Python, SQL and BI tools (i.e. Power BI/Looker).
• Proven experience with data warehousing concepts, ETL processes, and data modelling techniques (i.e. Snowflake, Airbyte, AWS)
• Deep knowledge of statistical techniques, regression modeling, and machine learning methods (e.g., clustering, decision trees, neural networks).
• Excellent communication and collaboration skills, with a passion for translating data into actionable insights for non-technical stakeholders. Bilingual (English/French) is a strong asset.
• Curious, entrepreneurial, and hands-on — driven to build data capabilities from the ground up.

Additional Information

How We Take Care of You

• Flexible paid time off. 
• Global comprehensive health plans so you feel your best.
• Complimentary beverages and snacks so that you are fuelled and ready for your day.
• Career growth opportunities. Your future matters.
• Fun-filled social events curated based on diverse interests for our team to celebrate together. From sponsored sports teams to trivia nights.
• Time off to volunteer and give back to your community.

What to Expect in Your Interview

• Initial Call
• Team interview
• Challenge 
• Final Interview
• Decision & Offer

️Commitment to Equal Employment Opportunity

Our culture is built for high achievers who thrive in fast-paced, high-impact environments. At Vention, you'll have the chance to shape products, processes, and strategies that leave a lasting impression.

When you join Vention, you join a team of professionals with a diverse variety of experiences, backgrounds, and perspectives. We’re committed to fostering a supportive, inclusive workplace where collaboration fuels extraordinary outcomes - and where strong, lasting relationships are built through shared drive and passion. We’re passionate about helping you do your best work. Claim your seat and find out what you can do!

If you require any accommodations during the interview process, let us know - we are happy to support you.

Not sure if your experience checks every box? That’s okay - apply anyway. We’d love to get to know you and share more about the role.