Senior Data Scientist, Square Enix

• Demonstratable current proficiency in mathematics (e.g. A-level Mathematics with grade A, A+ or equivalent)
• Strong delivery mindset, with the ability to work under tight deadlines and consistently drive business impact
• Proficiency in Python, including knowledge of modular code design using functions and classes
• Experience in data science methodologies and statistical modelling, and model performance monitoring process
• Experience in development of small-scale software or utilities (e.g. using Flask or similar frameworks)
• Familiarity with cloud computing platforms (e.g. Google Cloud)
• Experience using version control tools (e.g. Git)
• Understanding of game industry dynamics, including genre-specific sales patterns, platform strategies, long-tail revenue behaviour, and the impact of discounting and marketing campaigns
• Ability to translate business logic into data-driven forecasting frameworks
• Strong communication skills, with ability to explain complex concepts to both technical and non-technical stakeholders
• Collaborative mindset and ability to work across data science, engineering, and business teams

Desirable

• Square Enix is a leading publisher of entertainment content, known for iconic franchises such as Final Fantasy, 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 highly analytical and technically skilled Senior Data Scientist to lead the data and technology aspects of our Forecasting function
• This role is central to the success of our Forecast team, responsible for building robust internal tools and processes that enable collaborative model development, ensure data quality, and support continuous improvement
• They will also act as a technical process design lead, working closely with project managers, analysts, and marketing stakeholders to prioritise and implement features that enhance our forecasting capabilities
• Lead the end-to-end Forecast process from a data and technology perspective
• Design and develop internal tools for data scientists and modelling specialists to build and refine forecasting models
• Build and maintain software utilities for development and QA within the Forecast team
• Develop simulation tools for marketing teams to experiment with media scenarios and campaign strategies
• Support the model's performance monitoring process and feedback loop