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 us create the unknown!
Southeast Asia’s largest AAA game development studio with 450 talented team members representing 30+ nationalities. Opening its doors on the sunny shores of Singapore in 2008, Ubisoft Singapore set off on a vision to be a world class video game studio, and in its subsequent years played an essential role in several gaming blockbusters, including just about every Assassin's Creed® game since Assassin's Creed® II, Immortals Fenyx Rising™, and Ghost Recon Online. Its expertise in AAA and live operations, combined with a passion for naval battle gameplay and water technology, pushed the team to lead the development of a brand-new AAA game franchise – Skull and Bones™ which was launched in February 2024.
Job DescriptionWe are looking for a Data Scientist who thrives on creating value, not just building models. This role sits within the Asia Intelligence team, a pragmatic, product-minded group focused on shipping data and AI solutions that make an impact today. You will work closely with engineers, analysts, and stakeholders across Ubisoft to design, build, and evolve AI-powered products that are already in production and growing in ambition.
Success in this role is defined by your ability to deliver alongside your team. We care about shipped outcomes, not just experimentation. If you are energised by moving quickly, doing your work end-to-end, and seeing real players affected by what you build then this is the role for you.
WHAT YOU WILL DO
Your core responsibilities
- Design, build, and maintain machine learning models and AI products that are deployed in production and create measurable value for players and the business
- Contribute to personalisation and decisioning systems - including recommendation engines, segmentation models, propensity scoring, and Next Best Action frameworks - that directly influence player retention and engagement
- Support the development of AI agent architectures and automation workflows that extend the team’s capacity to deliver intelligence at scale
- Translate complex stakeholder needs into well-scoped, pragmatic solutions, balancing model sophistication with delivery speed and operational sustainability
- Collaborate closely with data analysts, data engineers, and product stakeholders to ensure models are integrated, understood, and acted upon
In six months
- You will have developed a strong working knowledge of our data infrastructure, player behaviour data, and live operations context across active titles
- You will have familiarised yourself with our suite of ML models spanning forecasting, propensity modelling, and player decisioning, and made meaningful contributions to at least one
- You will have expanded our AI/ML programme to cover additional player engagement scenarios and franchises, including personalisation and player decisioning capabilities
- You will have built trusted working relationships with key stakeholders, understanding their needs and how data science can serve them
In twelve months
- You will be a core contributor to the evolution of our personalisation and player engagement capabilities, including our Next Best Action engine and propensity modelling programme
- You will have helped shape the roadmap for new AI product opportunities, drawing on a clear view of where ML and agent-based approaches can generate near-term value for the business
Essential
- At least 3 years’ experience in an applied Data Science or ML role, with a track record of shipping models or AI products into production
- Demonstrated ability to deliver measurable outcomes through applied ML: your work has made it into the hands of end users, not just into a notebook
- Strong collaborative instincts: you understand that impact comes from working well with others, not from working alone
- Pragmatic problem-solver who can scope work appropriately, move fast where needed, and know when good enough beats perfect
- Comfortable working across disciplines, from game designers and producers to analysts and engineers, with strong communication skills to match
Desired
- Hands-on experience building personalisation engines, recommendation systems, or player decisioning frameworks
- Work experience with marketing decisioning platforms such as Adobe Marketing Cloud, Salesforce, Pega, Braze, or similar
- Experience designing or contributing to AI agent architectures and agentic workflows
- An interest in games, entertainment, or consumer-facing digital products where player or user behaviour is central to the work
TECHNICAL REQUIREMENTS
Essential
- Strong Python skills, including experience writing production-grade code beyond notebook prototypes
- Solid SQL skills for data exploration, feature engineering, and pipeline work
- Hands-on experience with ML frameworks such as scikit-learn, LightGBM, PyTorch, or Spark ML
- Expert-level proficiency in Databricks and/or Snowflake, with experience deploying and managing models in a cloud data platform environment
- Version control proficiency (git) and familiarity with collaborative development workflows
Desired
- Experience with MLflow, Delta Lake, or similar tools for model tracking and data management in Databricks environments
- Familiarity with Snowflake Cortex or Databricks Genie for AI-assisted analytics
- Experience building or integrating LLM-based agents or tool-use frameworks
- Familiarity with API development and the deployment of model-serving endpoints
We are working to enrich players’ lives through unique and memorable gaming experiences and by improving the positive impacts of our games. To get there, we are creating a safer, more inclusive work environment, we are giving back to the communities where Ubisoft operates by working with local non-profit partners and by working to reduce the environmental impact of our business. We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, ethnicity, religion, gender, sexual orientation, age or disability status.
Come on board and experience #LifeAtUbi for yourself, we are always on the lookout for talents who thrive in bringing their A-game to work. If this sounds like you, shoot us your resume, portfolio, and anything else to show that you’re serious about fun!
Skills Required
- At least 3 years of experience in an applied Data Science or Machine Learning role.
- Track record of shipping models or AI products into production.
- Demonstrated ability to deliver measurable outcomes through applied machine learning.
- Strong collaboration and communication skills across technical and non-technical disciplines.
- Pragmatic problem-solving and ability to scope and deliver work efficiently.
- Strong Python skills, including production-grade coding beyond notebook prototypes.
- Solid SQL skills for data exploration, feature engineering, and pipeline work.
- Hands-on experience with machine learning frameworks such as scikit-learn, LightGBM, PyTorch, or Spark ML.
- Expert-level proficiency in Databricks and/or Snowflake.
- Experience deploying and managing models in a cloud data platform environment.
- Version control proficiency with Git and familiarity with collaborative development workflows.
- Experience building personalization engines, recommendation systems, or player decisioning frameworks.
- Experience with marketing decisioning platforms such as Adobe Marketing Cloud, Salesforce, Pega, Braze, or similar.
- Experience designing or contributing to AI agent architectures and agentic workflows.
- Interest in games, entertainment, or consumer-facing digital products.
- Experience with MLflow, Delta Lake, or similar model-tracking and data-management tools.
- Familiarity with Snowflake Cortex or Databricks Genie.
- Experience building or integrating LLM-based agents or tool-use frameworks.
- Familiarity with API development and deployment of model-serving endpoints.
Ubisoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ubisoft and has not been reviewed or approved by Ubisoft.
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Healthcare Strength — Health coverage in the U.S. includes medical, dental, and vision options with HSA funding to cover the deductible, plus access to One Medical and a mental‑health program. Several studios also provide telemedicine and, in some regions, on‑site clinic services.
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Leave & Time Off Breadth — Time off includes paid vacation, holidays, wellness time, volunteer PTO, and a sabbatical available after five years in the U.S. Canadian studios highlight six weeks of vacation and additional local days tied to occasions or seasonal reduced hours.
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Parental & Family Support — Enhanced parental leave with salary top‑ups is emphasized in multiple regions, including Canada. In the U.S., a travel‑expense program supports access to reproductive healthcare when services are out of state.
Ubisoft Insights
What We Do
Ubisoft’s 20,000 team members, working across more than 40 locations around the world, are bound by a common mission to enrich players’ lives with original and memorable gaming experiences. Their dedication and talent has brought to life many acclaimed franchises such as Assassin’s Creed, Far Cry, Watch Dogs, Just Dance, Rainbow Six, and many more to come. Ubisoft is an equal opportunity employer that believes diverse backgrounds and perspectives are key to creating worlds where both players and teams can thrive and express themselves.
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