Square Enix
AI

Data Scientist Recommendation

Square Enix · London, ENG, GB

Actively hiring Posted 30 days ago

Role overview

Square Enix is a leading publisher of entertainment content, known for iconic digital game franchises such as the Final Fantasy series, Kingdom Hearts, Dragon Quest, NieR, Life is Strange, and Just Cause.

Our mission is to create and deliver experiences that resonate deeply with the hearts and minds of our players.

We are seeking a passionate and driven Data Scientist to join our dynamic team. This role focuses on building and improving recommendation systems, monitoring model performance, and conducting deep behavioural analytics to uncover actionable insights. The ideal candidate combines technical rigor with business-oriented thinking and thrives in collaborative environments.

This role also bridges Recommendation experts and Forecast experts; they will focus on designing machine learning strategies that personalize marketing interventions for long-tail sales opportunities. Working closely with the Forecast experts, they will integrate predictive models into recommendation logic and evaluate the impact of personalized actions on sustained revenue.

Learn more about the team's work:

What we're looking for

Essential:**

  • Demonstrable current proficiency in applied mathematics relevant to machine learning and business analytics (e.g., A-levelnMathematics with grade A or A+ or equivalent).
  • Proficiency in Python and SQL for data analysis and model development.
  • Strong foundation in statistics, probability, and linear algebra.
  • Experience with recommender system techniques such as collaborative filtering, contentbased recommendation, and rule-based logic.
  • Familiarity with ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
  • Exposure to ML operations, including: Code versioning (e.g., Git), Experiment tracking, and Model deployment and monitoring (e.g., CI/CD pipelines, Vertex AI Pipelines), containerization and deployment tools (e.g., Docker, Kubernetes), cloud computing platforms (e.g., Google Cloud, AWS, Azure).
  • Strong delivery mindset, with the ability to work under tight deadlines and consistently drive business impact.
  • Excellent communication and collaboration skills, with the ability to work across data science, engineering, and business teams.
  • Purpose: Creating New Worlds with Boundless Imagination to Enhance People’s Lives.
  • Values:
  • Deliver Unforgettable Experiences
    • Embrace Challenges
    • Act Swiftly
    • Stronger Together
    • Continuously Evolve
    • Cultivate Integrity

Tags & focus areas

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Fulltime Machine Learning Data Science Ai