Data Scientist, Personalization & Production ML

Ubisoft Singapore

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

Ubisoft Singapore is seeking a data scientist to design, build and scale AI-powered products within the Asia Intelligence team. You will work with engineers, analysts and product stakeholders to deliver end-to-end ML solutions that drive player engagement and retention.

You will contribute to personalization and decisioning systems, support AI agent architectures, and translate complex needs into pragmatic, scalable models with a focus on shipped outcomes.

Qualifications

  • 3+ years of applied Data Science or ML delivering production models or AI products.
  • Proven ability to ship measurable outcomes to end users.
  • Strong collaboration across designers, analysts, and engineers.
  • Pragmatic, fast-moving, and delivery-oriented problem solver.
  • Comfort working across disciplines with clear communication.

Responsibilities

  • Design, build, and maintain ML models and AI products in production.
  • Contribute to personalization, segmentation, propensity scoring, and Next Best Action.
  • Support AI agent architectures and automation workflows at scale.
  • Translate stakeholder needs into pragmatic solutions balancing scope and speed.
  • Collaborate with analysts, engineers, and product stakeholders to ensure model adoption.

Skills

3+ years DS/ML
Production ML
Personalisation engines
Python
SQL
ML frameworks
Databricks
Snowflake
Git
AI agents
Marketing platforms

Tools

Databricks
Snowflake
Git
LLM frameworks

Job description

Ubisoft Singapore is seeking a data scientist to design, build and scale AI-powered products within the Asia Intelligence team. You will work with engineers, analysts and product stakeholders to deliver end-to-end ML solutions that drive player engagement and retention.

You will contribute to personalization and decisioning systems, support AI agent architectures, and translate complex needs into pragmatic, scalable models with a focus on shipped outcomes.

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