Senior Data Scientist – Forecasting
Square Enix
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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Job Level
About the role
- 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.
Requirements
- Key Deliverables
- - 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.
- Qualifications and Skills**Essential:**
- *Technical Skills *
- - 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)
- *Industry Knowledge (marketing and gaming) *
- - 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.
- *Soft Skills *
- - 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:**
- - Ability to build and evaluate Bayesian models using PyMC or Stan, with a focus on real-world forecasting applications. Formal work experience not required.
- - Good grasp of marketing and media modelling fundamentals.
- - Experience in pricing analytics, demand modelling, or revenue forecasting within entertainment or consumer industries.
- - Knowledge of simulation frameworks or scenario planning tools.
- - Experience of managing/mentoring junior members.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
mathematicsPythondata science methodologiesstatistical modellingmodel performance monitoringsoftware developmentFlaskcloud computingversion controlBayesian models
Soft Skills
delivery mindsetstrong communication skillscollaborative mindset