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Ubisoft Montréal

Data Scientist - Generative AI

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 6, 2026
Posting language: English
Posted: Oct 7, 2026

Original job description

Job Description

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help create the unknown!

Qualifications

Job Description

As a data scientist at Ubisoft Montréal, you will contribute to a technology product that brings generative artificial intelligence (AI) into game features. You’ll work with colleagues in data, programming, game and narrative design, and animation. Together, you’ll explore how generative AI can create engaging gameplay experiences and test those experiences with players. The team’s work also spans research and development, product development, short game projects, and collaboration across studios.

What You’ll Do

Define goals and evaluation methods using design team requirements and player data
Build prototypes and train machine learning models to meet those goals
Work with machine learning engineers to hand over prototypes and set measures of success for integration
Review AI behavior with designers and find ways to improve gameplay
Identify opportunities for experimentation and innovation
Explain your work and results clearly to a range of audiences

Additional Information

What you bring to the team

Bring data science experience from projects involving interactive products, such as games, applications, or real-time systems
Use Python and TensorFlow or PyTorch
Apply statistics and evaluation methods, including exploratory data review, statistical tests, and comparisons between two versions
Review complex, sequential data from interactive systems
Draw on your knowledge of large language models
Turn client needs into specifications through careful listening and understanding, while organizing your work and bringing an interest in video games
Communicate in English, in writing and conversation, with contacts in different countries as part of the role’s international collaboration

Experience with PySpark is an asset.

What To Send Our Way

Send your CV highlighting relevant skills and experience
Share links to relevant data science or machine learning projects

Apply About employer

More about this job

Responsibilities

Define goals and evaluation methods, analyze player and interactive-system data, and build prototypes and machine learning models for generative AI game features. Collaborate with engineers and game teams to evaluate AI behavior, improve gameplay, support integration, and identify opportunities for experimentation.

Requirements

Candidates should have data science experience with interactive products and be able to use Python and TensorFlow or PyTorch, apply statistical evaluation methods, and analyze complex sequential data. Knowledge of large language models, clear communication, and the ability to translate client needs into specifications are expected; PySpark experience is an asset.

Skills

Data Science
Python
TensorFlow
PyTorch
Machine Learning
Generative AI
Large Language Models
Statistical Analysis
Exploratory Data Analysis
Sequential Data Analysis
Model Evaluation
Prototyping
Player Data Analysis
Cross-Functional Collaboration
Communication
PySpark

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Generative AI
Machine Learning
Python
TensorFlow
PyTorch
PySpark
Large Language Models
Interactive Products
Video Games
Game Features
Player Data
Prototyping
Model Training
Exploratory Data Analysis
Statistical Tests
Version Comparisons
Sequential Data
Model Evaluation
AI Behavior
Gameplay
Research And Development
Product Development
Experimentation
Cross-Functional Collaboration
Game Design
Narrative Design
Animation

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