Time since we first saw it
Day 4
Early. Similar jobs usually come down between day 6 and day 68.
From 4,292 similar postings that came down. Coming down is not always a hire.
Reads like a ML Engineer role: putting models into production.
Singapore, Singapore
Likely evergreen, first seen by us 4 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Design, build and maintain ML models and AI products deployed in production
Build personalisation and decisioning systems that influence player retention and engagement
Support AI agent architectures and automation workflows
Turn stakeholder needs into scoped, pragmatic data solutions
Work with analysts, engineers and product stakeholders to get models used
Design, build, and maintain machine learning models and AI products that are deployed in production
Contribute to personalisation and decisioning systems
Support the development of AI agent architectures and automation workflows
Translate complex stakeholder needs into well-scoped, pragmatic solutions
Collaborate closely with data analysts, data engineers, and product stakeholders
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
Hands-on experience building personalisation engines, recommendation systems, or player decisioning frameworks
Strong Python skills, including experience writing production-grade code beyond notebook prototypes
Experience with MLflow, Delta Lake, or similar tools for model tracking and data management in Databricks environments
Experience designing or contributing to AI agent architectures and agentic workflows
Solid SQL skills for data exploration, feature engineering, and pipeline work
Likely evergreenReposted 2 times since Sep 9, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 4
Early. Similar jobs usually come down between day 6 and day 68.
From 4,292 similar postings that came down. Coming down is not always a hire.
14 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Essential: - Strong Python skills, including experience writing production-grade code beyond notebook prototypes - Solid SQL skills for data exploration, feature engineering, and pipeline work
- 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
- 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 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
- 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
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Yes. We’ve followed 2 other Data Scientist jobs there since September 2026. 2 came down, usually after about 26 days.
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:
In six months:
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TECHNICAL REQUIREMENTS
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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!
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.
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Singapore, Singapore
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