Location
London

Hours
Full Time

Salary
Competitive, commensurate with experience

About the Role
Square Enix, a leading publisher known for iconic franchises such as Final Fantasy, Kingdom Hearts, and Dragon Quest, is seeking a Marketing Science Manager to join our Forecasting team. This role focuses on connecting Marketing strategy with Forecast outputs by translating marketing plans, awareness objectives, and promotional assumptions into quantified, decision-grade inputs used in forecasting and business planning. You will act as the critical bridge between Marketing and Forecasting, ensuring marketing activities are structurally modelled, transparently represented, and consistently reflected in forecast scenarios and executive decisions.

In addition to hands-on analytical work, you will mentor junior and mid-level analysts and data scientists, working closely with the Director to ensure the quality and consistency of the team’s outputs—both in terms of model inputs and results.

Key responsibilities include:
- Integrating marketing plans and assumptions into structured forecast inputs
- Co-owning the design and validation of models linking publishing activities, awareness, and demand
- Defining and maintaining forecast scenario ranges
- Designing and driving a structured Test & Learn approach to validate publishing assumptions
- Incorporating learnings from experiments into models and forecast inputs

This role requires a strategic thinker with strong communication skills, able to collaborate across data science, marketing, and external partners to deliver decision-ready insights that support business planning and execution.

Experience
- Demonstrable proficiency in mathematics and statistics (e.g., A-level Mathematics with grade A, A+ or equivalent)
- Proficiency in Python, including modular code design using functions and classes
- Experience building linear and non-linear response models using population and media consumption data
- Familiarity with model performance monitoring and iterative improvement
- Ability to translate business and marketing assumptions into quantitative models and decision-ready outputs
- Understanding of media planning principles and awareness KPIs
- Familiarity with media data providers across EU and US markets such as Kantar, Ipsos, GfK, Nielsen, Comscore
- Ability to assess data reliability, granularity, and accessibility across regions
- Strong communication skills to explain complex concepts to technical and non-technical stakeholders
- Collaborative mindset with ability to work across data science, marketing, and external partners
- Strategic thinking and independent decision-making

About you
- Experience in media mix modeling or marketing effectiveness analysis is desirable
- Basic understanding of Bayesian statistics and probabilistic modeling, with ability to apply Bayesian inference to media effectiveness, forecasting, and decision-making under uncertainty
- Experience designing or contributing to test & learn or experimentation frameworks in marketing or commercial contexts
- Hands-on experience with scenario planning or simulation tools
- Prior collaboration with regional media agencies or research firms
- Experience mentoring or managing small teams

Qualifications
No formal qualifications beyond demonstrated technical skills are explicitly required; however, strong mathematical and statistical knowledge and relevant experience are essential.