Senior Data Scientist, Square Enix

Recommendations

Salary not provided

SQL

AWS

Docker

Kubernetes

GCP

Python

Tensorflow

Azure

Scikit-Learn

PyTorch

Senior level

London

2+ days a week in office (Blackfriars, London)

Developing, publishing, and marketing interactive entertainment titles

Job no longer available

Developing, publishing, and marketing interactive entertainment titles

1001+ employees

B2CArtificial IntelligenceMarketingGamingPublishingEntertainmentDigital Media

Job no longer available

Salary not provided

SQL

AWS

Docker

Kubernetes

GCP

Python

Tensorflow

Azure

Scikit-Learn

PyTorch

Senior level

London

2+ days a week in office (Blackfriars, London)

1001+ employees

B2CArtificial IntelligenceMarketingGamingPublishingEntertainmentDigital Media

Company mission

To spread happiness across the globe by providing unforgettable experiences.

Job

Company

Role

Who you are

Extensive experience of proven experience as a Data Scientist and/or Product Engineer, working on similar projects such as user communication, service optimization and personalization
Practical experience in methodologies used in recommender system such as Collaborative Filtering, Content Based Recommendation, Matrix Factorization
Experience with the management of ML code base and experimentation result in an organized and efficient manner
Experience with cloud platforms and technologies for deploying and managing machine learning models at scale, such as AWS, Azure, or Google Cloud Platform
Entrepreneurial and curious mindset with a passion for experimentation and innovation combined with practical business instincts; can both dream big as well as execute and prioritize projects aligned to strategic needs
Experience or desire to manage, mentor, and train Jr Data Scientists
Proficiency in data analysis, data mining and programming languages preferably with SQL, Python, TensorFlow, PyTorch, or scikit-learn
Practical experience in ML ops, such as Python packaging, Docker/Kubernetes, CI/CD, deployment and monitoring of ML models’ performance
The successful candidate will excel at solving problems, delivering effective recommender system projects, and ensuring the process is streamlined, efficient, and continuously optimized

What the job involves

The Senior Data Scientist, Recommendation will be a passionate leader focused on providing optimized and personalized user experiences powered by the application of machine learning
A key member of the Data Science & AI Team, the Sr. Data Scientist will build, manage, and improve our communications with fans via large-scale models that drive engagement
This role will lead mid or junior level data scientist(s) and collaborate with Data Engineering, DevOps, and business stakeholders to ensure the accurate implementation and impact of recommender systems deployed
Build and deploy scalable data science models/algorithms to drive marketing, promotion, and personalization actions that provide measurable improvement
Identify, analyse, and interpret users’ in-game/outer-game behavioural data, and apply analytics and machine learning methods
Design, construct and maintain predictive models including, but not limited to, social behaviour, retention and monetization to increase the lifetime value of our customers
Provide ongoing maintenance and support for deployed machine learning models, ensuring their reliability and effectiveness in real-world applications
Continuously improve our solutions to make them more simple, robust, efficient and scalable. This includes pipeline design and continuous improvement schemes through machine learning
Able to effectively manage existing code base, document past experiences, automate processes, and create feedback loops
Lead junior/mid data scientists inside/outside of the team who works on recommendation projects
Promote best practices in machine learning system deployment, testing, and evaluation
Project management: Initiate PoC, create workflow with partner teams, deliver results for project approval, set schedules and priorities, and document results
Remain alert to opportunities which further utilize our data or data science methods to benefit the business, operations, or key strategic initiatives

Salary benchmarks

Our take

SquareEnix was formed as a merger between the two Japanese video game giants Square and Enix in 2003. The company has risen to popularity and is now widely known for its Final Fantasy, Dragon Quest, and Tomb Raider role-playing video game franchises whic has sold hundreds of millions of copies worldwide, amongst numerous others.

Its business model is based on the idea of ‘polymorphic content’, consisting of building franchises on multiple potential hardware rather than being restricted by a single gaming platform.

While Square Enix reported a 25% drop in revenue from its games division in Q1 2025, reflecting a broader trend of slower growth driven by a focus on 'safe' releases. However, there is still bright spots - Final Fantasy XI, one of the company's longest-running MMOs, has seen a resurgence in players so strong that new account registration had to be temporarily suspended. With the ongoing support for it's iconic franchises, the company still has potential to turn momentum in its favor.

Steph

Company Specialist at Welcome to the Jungle

Insights

-9% employee growth in 12 months

Glassdoor (3.9)

Company

Company HQ

London, UK

Share this job

View 2 more jobs at Square Enix