Square Enix
Senior Data Scientist (Forecasting & Marketing Mix Modelling)
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Job Description
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 Senior Data Scientist to lead the data, modelling, and technology foundations of our Forecasting function, including Marketing Mix Modelling and media effectiveness capabilities. The role will build robust internal tools, simulation frameworks, QA processes, and model monitoring routines that improve forecasting accuracy, scenario planning, and marketing decision-making. They will work closely with project managers, analysts, data scientists, data engineers, and marketing stakeholders to prioritise and deliver practical, scalable solutions.
Requirements
Responsibilities & KPIs
- Own the end-to-end Forecasting process from a data, modelling, and technology perspective, ensuring models, tools, QA routines, and monitoring are reliable, scalable, and business-relevant
- Design internal tools, QA workflows, and reusable modelling components that help the Forecasting team build, test, iterate, and deploy forecasting and Marketing Mix Modelling solutions efficiently
- Develop simulation and scenario planning tools that help marketing teams evaluate media investment, campaign strategies, pricing, promotions, and potential sales outcomes
- Support and improve the model performance monitoring process, including tracking forecast accuracy, identifying systematic bias, capturing stakeholder feedback, and feeding these learnings back into model development
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Success will be measured by the quality, adoption, and business impact of delivered tools and modelling processes, including improved forecast reliability, faster scenario turnaround, stronger monitoring, and better marketing decision support.
Key Stakeholders
- Data-Driven Insights
- Global Marketing
- Sales
- eStore
- Performance Optimization
Qualifications and Skills
Essential
Technical Skills
- Demonstrable 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 modular code design using functions and classes, and experience with version control tools such as Git
- Experience applying statistical modelling to business problems, including model validation, performance monitoring, and communication of model limitations
- Experience developing internal tools or analytical applications using frameworks such as Flask, FastAPI, or similar
- Familiarity with cloud computing platforms (e.g. Google Cloud)
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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
- Experience with Marketing Mix Modelling or media effectiveness analysis, including understanding how media spend, channel mix, seasonality, promotions, pricing, and external factors can influence sales or player behaviour
Soft Skills
- Strong communication skills, with the 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
- Experience in pricing analytics, demand modelling, or revenue forecasting within entertainment or consumer industries
- Experience of managing/mentoring junior members
Purpose & Values
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
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location