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Added 2 months ago
M
Junior Data Scientist
Modaxo
Montreal, QC · Canada - Montreal, QC
- Full-time
As a Junior Data Scientist, you will work in a role with a strong operational and analytical focus: data preparation and validation, data quality investigations, dashboards, and the…
Added 23 days ago
ML Systems Software Development Engineer Intern, Annapurna Labs - 2027
Amazon
Toronto, ON
- Programming experience through coursework, research, or a previous internship using Python, C, and/or C++
Added 23 days ago
L
Software Engineer Intern, Machine Learning (Summer 2027)
Lyft
Toronto, ON
- $46 to $53 CAD / hour
With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and…
Added 24 days ago
OM
Analyst, Data Science
Omnicom Media
Toronto, ON
- Full-time
We are looking for a Data Science Analyst to join our growing data science practice. In this role, you will support the development and delivery of quantitative models and analyses across a…
Added 23 days ago
B
BMO Capital Markets Summer 2027 Internship Global Markets Analyst, Commodity Derivatives, Calgary
BMO
Calgary, AB · CALG
- Full-time
Summer analyst will work on one desk in Global Markets over a 14-week internship period. With a specific role available in Calgary for the winter term, the potential candidate would work on…
Added 23 days ago
L
Data Science Intern, Algorithms (Summer 2027)
Lyft
Toronto, ON
- $45 to $48 CAD / hour
Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Compared to other technology companies of a similar size, the set of problems that we tackle…
Added 23 days ago
N
Data Science Co-op/Intern
Nokia
Ottawa, ON
- Full-time
…relevant technical discipline. Preferred fields of study include Data Science, Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Artificial Intelligence,…
Added 4 months ago
HC
Co-op Researcher – Computer Vision and Machine Learning
Huawei Canada
Markham, Ontario
- Volunteer
Currently enrolled in senior Bachelor or Master’s in Computer Science, Electrical Engineering or a related technical field, having strong software development skills, previous internship…
Added 2 months ago
GP
AI/ML Engineer Intern (2027)
Georgian Partners Growth
Remote, Canada
- Internship
- Remote
Education & Experience: Currently pursuing or recently completed a Master's or PhD degree in Computer Science, Electrical Engineering, Statistics, or a related quantitative discipline with…
Added 5 months ago
F
Computer Vision & Behavioral Signal Analysis Intern (Travel + Hospitality Focus)
FairwAI
Remote, Canada
- Remote
This internship is offered through our 501(c)(3) nonprofit organization, which focuses on education, healthcare, and economic development. As a nonprofit, we are able to host unpaid interns…
Added 24 days ago
NE
Junior Developer - Winter 2027 Co-op
Nexus Energy Inc.
Toronto, ON
- $20 to $22 CAD / hour
- Full-time
Currently enrolled in a post-secondary program in Computer Science, Software Engineering, Computer Engineering, Information Technology, Data Science, Artificial Intelligence/Machine…
Added 24 days ago
DI
Analyst, Consumer Insights & Market Research - Winter 2027 Co-op/Intern
Definity Insurance Company
Toronto, ON
- Full-time
Some familiarity/ knowledge of survey platforms (e.g., Qualtrics, SurveyMonkey) and data analysis tools (e.g., Excel, SPSS, R, Python).
Added 5 months ago
TC
Unpaid Internship - ML Engineering
The Commons XR
Remote, Canada
- Remote
THE COMMONS XR would sincerely like to thank the current internship cohort and look forward to the next cohort interns. As such we are seeking unpaid interns who are pursuing Data…
Added 5 months ago
F
Computer Vision & Behavioral Signal Analysis Intern (Healthcare Focus)
FairwAI
Remote, Canada
- Remote
This internship is offered through our 501(c)(3) nonprofit organization, which focuses on education, healthcare, and economic development. As a nonprofit, we are able to host unpaid interns…
Added 5 months ago
F
NLP Research Fellow
FairwAI
Remote, Canada
- Remote
…districts. Prior to that, Ryan was Managing Director of the City Science Initiative at the MIT Media Lab, where he pioneered AI-integrated mobility systems and urban computing platforms.…
Added 1 month ago
Software Developer Intern
DRW
Montreal, QC
…intensive software under the guidance of senior technologists with the goal of deployment during your internship. While your days will have you immersed in complex projects directly driving…
Added 1 month ago
AI/ML Research Intern
DRW
Montreal, QC
…quantitative researchers, and traders. You will collaborate closely with other researchers to solve challenging AI and machine learning problems. Your projects will vary depending on…
Added 24 days ago
RS
Application Support Engineer I
Ryder System, Inc.
Toronto, ON
- Full-time
1 year or more in Professional, Internship or project experience with development and/or application support, Preferred
Added 24 days ago
Machine Learning Developer / Developpeur d'apprentissage automatique
SAP
Montreal, QC
Develop and maintain backend services, APIs, and data pipelines in Go, Java, or Python.
Added 24 days ago
Embedded Developer Intern, Engine Data Reliability ( Winter/ January 2027, 12-16 months)
Internship List
Oakville, ON
…into the GO device firmware, programming primarily in C and Python. You will work in one or several of many areas of focus depending on your experience including GPS, Modem, Accelerometer,…
Added 24 days ago
A
Epidemiology & Real-World Science Intern
AstraZeneca
Mississauga, ON · Canada - Mississauga
- Full-time
…epidemiologic methods, observational research design, biostatistics, or data analysis. Experience with epidemiologic data analysis and programming languages or tools such as SAS, R, Python,…
Added 2 months ago
B
Actuarial Analyst II
BCAA
Burnaby, British Columbia · *Head Office
- Full-time
Minimum 2 years of actuarial or analytical experience, ideally within insurance. Consideration will also be given to candidates with relevant project or internship experience.
Added 24 days ago
Engineering Information Management Student - Oil Sands
Canadian Natural
Calgary, AB
Work with the 3D modeling team to identify ways for enhancing their workflows, quality of deliverables from the 3D modeling tool, and facilitate resolution of data inconsistencies
Added 24 days ago
RS
Application Support Engineer I
Ryder Supply Chain Solutions
Toronto, ON · CAN - Toronto ON Carlingview Dr
- Full-time
1 year or more in Professional, Internship or project experience with development and/or application support, Preferred
Added 26 days ago
AC
Early Careers: Actuarial Intern, Property & Casualty Reinsurance - 8 months - Winter 2027
Aon Corporation
Toronto, ON
- Full-time
Experience with a database application and familiarity with R and Python would be an asset

Modaxo

Junior Data Scientist

Montreal, QC, Canada
Canada - Montreal, QC, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Posting language: English · French
Posted: Jul 17, 2026

Original job description

English section of this bilingual listing.

Join our team and take your career to the next level.

Expretio is looking for a Junior Data Scientist to join its dynamic R&D team based in Montreal. As part of an AI team, you will contribute to the development and support of Appia, our flagship Revenue Management solution for the rail industry, supporting data analysis, predictive modeling, and customer purchasing behavior analysis.

As a Junior Data Scientist, you will work in a role with a strong operational and analytical focus: data preparation and validation, data quality investigations, dashboards, and the production of clear results for the team. In parallel, you will develop proof-of-concept solutions in Python aimed at contributing to the improvement of components within our analysis and monitoring chain.

This role is an ideal entry point into Expretio's Artificial Intelligence and Revenue Management ecosystem. You will work closely with experienced Data Scientists, AI developers, and operations research scientists, while developing your technical skills and domain knowledge. This role is designed to grow: as you progress, data science and modeling will take on a greater share of your responsibilities.

Votre rôle

Analyse de données et soutien opérationnel

---------------- ENGLISH -----------------------

Key Responsibilities

· Contribute to the design and updating of dashboards and data visualizations

· Produce clear summaries and reports of analytical results

· Use generative AI tools to support analysis, extraction, and internal tooling tasks

· Participate in the evolution and automation of the calibration and monitoring chain

· Verify and document the quality and consistency of the results produced

Data Science and Modeling

· Develop proof-of-concept solutions in Python for analysis and predictive modeling components

· Contribute to the improvement of components and algorithms involving data science

· Create model validation tests and documentation for analytical features

· Contribute to the improvement of the data science architecture and predictive models within Appia

Collaboration and Development

· Work with clients to understand behaviors and adapt models to their needs

· Work with the Support team to analyze and resolve Production issues

· Take part in retrospectives and propose continuous improvements

What you bring to the role

Preferred Education and Experience

· Bachelor's degree in data science, mathematics, statistics, or a related field (Master's an asset)

· Internship or academic project experience in machine learning and data analysis

· Any relevant additional training in data science is considered an asset

Technical Skills

· Skills in exploratory data analysis and data quality control

· Ability to interpret data and derive actionable insights

· Solid knowledge of Python for data manipulation and analysis (pandas)

· Understanding of Machine Learning models, particularly ensemble methods (Random Forest, bagging) and boosting algorithms (XGBoost, LightGBM, gradient boosting)

· Familiarity with predictive modeling and time series analysis

· Solid foundations in SQL and data manipulation

· Proficiency with data visualization tools (Power BI or equivalent), including the design of interactive reports

· Ability to clearly communicate analytical results, both internally and to clients

· Use of generative AI tools for analysis tasks

· Ability to communicate effectively in French and English

· Asset: Experience with Google OR-Tools in an optimization context

Other Key Skills and Competencies

· Curiosity and a strong willingness to learn new technologies and concepts

· Attention to detail in data analysis and model validation

· Ability to communicate with a variety of stakeholders, tailoring message to each audience

· Ability to work in a team and receive feedback constructively

· Rigor and good time management

· Awareness of responsible AI considerations when using generative AI tools

Technical Environment

· Methodologies: Agile (Scrum), Lean (Kanban)

· Data Science: Python, pandas, PyTorch, LightGBM, MLflow

· Databases: SQL (PostgreSQL), NoSQL (MongoDB)

· Infrastructure: Docker/Podman, GitLab, Jenkins

· Tools: Claude, Pycharm, Office 365, Jira, Confluence, PowerBI, Miro

Worker Type:

Regular

Number of Openings:

Read the full bilingual original

Join our team and take your career to the next level.

Job Summary:

Expretio recherche un·e Data Scientist junior pour rejoindre son équipe R&D dynamique basée à Montréal. Au sein d'une équipe AI, vous contribuerez au développement et au support d'Appia, notre solution phare de Revenue Management pour l'industrie ferroviaire, en soutenant l'analyse de données, la modélisation prédictive et l'analyse du comportement d'achat des clients.

En tant que Data Scientist junior, vous évoluerez dans un rôle à forte composante opérationnelle et analytique : préparation et validation des données, investigations sur la qualité des données, tableaux de bord et production de résultats clairs pour l'équipe. En parallèle, vous serez amené à développer des preuves de concept en Python visant à contribuer à l'amélioration de composants de la chaîne d’analyse et de monitoring.

Ce poste constitue un point d'entrée idéal dans l'écosystème d’Intelligence Artificielle et de Revenue Management d'Expretio. Vous collaborerez étroitement avec des Data Scientists, des développeurs·euses IA et des scientifiques en recherche opérationnelle expérimentés, tout en développant vos compétences techniques et votre connaissance du domaine. Il s'agit d'un rôle pensé pour évoluer : à mesure que vous progresserez, la science des données et la modélisation prendront une plus grande part de vos responsabilités.

------------------------------------ ENGLISH -----------------------

Expretio is looking for a Junior Data Scientist to join its dynamic R&D team based in Montreal. As part of an AI team, you will contribute to the development and support of Appia, our flagship Revenue Management solution for the rail industry, supporting data analysis, predictive modeling, and customer purchasing behavior analysis.

As a Junior Data Scientist, you will work in a role with a strong operational and analytical focus: data preparation and validation, data quality investigations, dashboards, and the production of clear results for the team. In parallel, you will develop proof-of-concept solutions in Python aimed at contributing to the improvement of components within our analysis and monitoring chain.

This role is an ideal entry point into Expretio's Artificial Intelligence and Revenue Management ecosystem. You will work closely with experienced Data Scientists, AI developers, and operations research scientists, while developing your technical skills and domain knowledge. This role is designed to grow: as you progress, data science and modeling will take on a greater share of your responsibilities.

Job Description:

Votre rôle

Analyse de données et soutien opérationnel

· Soutenir les investigations sur la qualité des données et les analyses statistiques

· Contribuer à la conception et la mise à jour de tableaux de bord et à la visualisation de données

· Produire des synthèses claires et des rapports de résultats analytiques

· Utiliser les outils d'IA générative pour appuyer l'analyse, l'extraction et les tâches d'outillage interne

· Participer à l’évolution et l’automatisation de la chaîne de calibration et de monitoring

· Vérifier et documenter la qualité et la cohérence des résultats produits

Science des données et modélisation

· Développer en Python des preuves de concept pour des composants d'analyse et de modélisation prédictive

· Contribuer à l’amélioration des composants et algorithmes mettant en jeu de la science des données

· Créer des tests de validation de modèles et la documentation des fonctionnalités analytiques

· Participer à l’amélioration de l'architecture de science des données et des modèles prédictifs dans Appia

Collaboration et développement

· Collaborer avec les clients pour comprendre les comportements et adapter les modèles à leurs besoins

· Collaborer avec l'équipe de Support pour analyser et résoudre les problèmes de Production

· Participer aux rétrospectives et proposer des améliorations continues

Profil recherché

Formation et expérience

· Baccalauréat en science des données, mathématiques, statistiques ou domaine connexe (maîtrise un atout)

· Expérience de stage ou de projet académique en apprentissage automatique et en analyse de données

· Toute formation complémentaire pertinente en science des données est considérée comme un atout

· La maîtrise de l'anglais, tant à l'écrit qu'à l'oral, est requise pour permettre une communication efficace dans un environnement organisationnel et commercial international. L'entreprise opère à l'échelle mondiale, avec des clients à travers le monde, faisant de l'anglais la langue de travail commune entre les régions.

Compétences techniques

· Compétences en analyse exploratoire de données et en contrôle de la qualité des données

· Capacité à interpréter les données et à en tirer des observations exploitables

· Bonne connaissance de Python pour la manipulation et l'analyse de données (pandas)

· Compréhension des modèles de Machine Learning, notamment les méthodes ensemblistes (Random Forest, bagging) et les algorithmes de boosting (XGBoost, LightGBM, gradient boosting)

· Notions de modélisation prédictive et d'analyse de séries temporelles

· Bonnes bases en SQL et en manipulation de données

· Maîtrise d'outils de visualisation de données (Power BI équivalent), incluant la conception de rapports interactifs

· Capacité à communiquer clairement des résultats analytiques en interne comme aux clients

· Utilisation des outils d'IA générative pour des tâches d'analyse

· Capacité à communiquer efficacement en français et en anglais

· Atout : Expérience avec Google OR-Tools dans un contexte d'optimisation

Qualités personnelles

· Curiosité et forte volonté d'apprendre de nouvelles technologies et concepts

· Souci du détail dans l'analyse de données et la validation de modèles

· Capacité à communiquer avec des parties prenantes variées, en adaptant son discours à chaque audience

· Aptitude au travail d'équipe et à recevoir la rétroaction de manière constructive

· Sens de la rigueur et de la gestion du temps

· Conscience des enjeux d'IA responsable lors de l'utilisation d'outils d'IA générative

Environnement technique

· Méthodologies : Agile (Scrum), Lean (Kanban)

· Science des données : Python, pandas, PyTorch, LightGBM, MLflow

· Bases de données : SQL (PostgreSQL), NoSQL (MongoDB)

· Infrastructure : Docker/Podman, GitLab, Jenkins

· Outils : Claude, Pycharm, Office 365, Jira, Confluence, PowerBI, Miro

---------------- ENGLISH -----------------------

Key Responsibilities

Data Analysis and Operational Support

· Support data quality investigations and statistical analyses

· Contribute to the design and updating of dashboards and data visualizations

· Produce clear summaries and reports of analytical results

· Use generative AI tools to support analysis, extraction, and internal tooling tasks

· Participate in the evolution and automation of the calibration and monitoring chain

· Verify and document the quality and consistency of the results produced

Data Science and Modeling

· Develop proof-of-concept solutions in Python for analysis and predictive modeling components

· Contribute to the improvement of components and algorithms involving data science

· Create model validation tests and documentation for analytical features

· Contribute to the improvement of the data science architecture and predictive models within Appia

Collaboration and Development

· Work with clients to understand behaviors and adapt models to their needs

· Work with the Support team to analyze and resolve Production issues

· Take part in retrospectives and propose continuous improvements

What you bring to the role

Preferred Education and Experience

· Bachelor's degree in data science, mathematics, statistics, or a related field (Master's an asset)

· Internship or academic project experience in machine learning and data analysis

· Any relevant additional training in data science is considered an asset

Technical Skills

· Skills in exploratory data analysis and data quality control

· Ability to interpret data and derive actionable insights

· Solid knowledge of Python for data manipulation and analysis (pandas)

· Understanding of Machine Learning models, particularly ensemble methods (Random Forest, bagging) and boosting algorithms (XGBoost, LightGBM, gradient boosting)

· Familiarity with predictive modeling and time series analysis

· Solid foundations in SQL and data manipulation

· Proficiency with data visualization tools (Power BI or equivalent), including the design of interactive reports

· Ability to clearly communicate analytical results, both internally and to clients

· Use of generative AI tools for analysis tasks

· Ability to communicate effectively in French and English

· Asset: Experience with Google OR-Tools in an optimization context

Other Key Skills and Competencies

· Curiosity and a strong willingness to learn new technologies and concepts

· Attention to detail in data analysis and model validation

· Ability to communicate with a variety of stakeholders, tailoring message to each audience

· Ability to work in a team and receive feedback constructively

· Rigor and good time management

· Awareness of responsible AI considerations when using generative AI tools

Technical Environment

· Methodologies: Agile (Scrum), Lean (Kanban)

· Data Science: Python, pandas, PyTorch, LightGBM, MLflow

· Databases: SQL (PostgreSQL), NoSQL (MongoDB)

· Infrastructure: Docker/Podman, GitLab, Jenkins

· Tools: Claude, Pycharm, Office 365, Jira, Confluence, PowerBI, Miro

Worker Type:

Regular

Number of Openings:

Apply About employer

More about this job

Responsibilities

The role involves supporting data quality investigations, creating dashboards, and developing Python-based proof-of-concepts for predictive modeling. You will collaborate with clients and internal teams to improve the Appia Revenue Management solution for the rail industry.

Requirements

A Bachelor's degree in Data Science, Mathematics, or Statistics is required, with a Master's degree being an asset. Candidates should have internship or academic experience in machine learning and proficiency in Python and SQL.

Skills

Python
Pandas
SQL
Machine Learning
Data Visualization
Power BI
Predictive Modeling
Time Series Analysis
Exploratory Data Analysis
Generative AI
Ensemble Methods
Data Quality Control

Visa sponsorship

Not detected in the job text

Keywords

Python
Pandas
PyTorch
LightGBM
MLflow
SQL
PostgreSQL
MongoDB
Docker
Podman
GitLab
Jenkins
Claude
Pycharm
PowerBI
Jira
Confluence
Agile
Scrum
Kanban
Revenue Management
Machine Learning
Random Forest
XGBoost
Time Series Analysis
Google OR-Tools
Data Science
Predictive Modeling
Artificial Intelligence

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