Data Scientist

We 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…