VP of AI

About the role

Group data and ML strategy is defined across Tripledot Studios. The position strengthens competitive positioning and aligns technology with game development vision.

Data roles turn raw information into decisions. Analysts query databases and build dashboards. Data scientists build models that predict outcomes. Data engineers build the pipelines that move and store data. All three work closely with business teams and need a mix of statistics, coding, and communication. Nearly every modern company runs on data teams, from startups to banks. A strong portfolio of past analyses matters more than degrees in many hiring decisions.

Key facts

What you'll do

Initiatives are prioritized and owned to drive revenue and business KPIs for studio impact.

Lifetime value, retention, ARPU, ROAS, and operational efficiency are elevated through focused execution.

Production-ready ML systems are delivered to serve multiple verticals across the business.

AWS and Snowflake are used with strong MLOps practices via cloud services and internal tools.

A high-performing AI and ML engineering team is developed, managed, and scaled to support ambitious goals.

Ownership culture, delivery excellence, and continuous team growth are embedded in day-to-day work.

ML and data initiatives are integrated into game and marketing workflows to support measurable outcomes.

C-level to technical directors across game teams are engaged to maintain alignment.

Requirements

The posting states a bachelor's degree requirement. The posting states a minimum of 6 years of experience.

10 or more years of experience in AI, ML, and Data Science is required, including 6 or more years in senior leadership roles.

A track record of influencing business KPIs such as LTV, ROAS, ARPU, and retention is required.

Executive presence enables effective communication with both technical and non-technical audiences.

Hands-on experience with user-level and performance marketing data is necessary for this role.

Proficiency with AWS services such as SageMaker, Lambda, and Step Functions, along with Snowflake and modern MLOps tooling, is required.

Familiarity with ML frameworks including PyTorch, TensorFlow, scikit-learn, and XGBoost is required.

Experience managing and scaling high-performing data science and ML engineering teams is required.

Practical notes

The role is based in London with hybrid working and allows 20 days of remote work from anywhere.

25 days of paid holiday are provided in addition to bank holidays, and daily free lunch is available when in the office.

An Employee Assistance Program offers confidential support, and family forming support is available subject to policy.

Typical interview steps

Data interviews commonly include a SQL or coding exercise, a statistics question, and a case study. Candidates may be asked to design a metric, interpret an experiment, or build a small model. Some companies give a take-home analysis. Expect questions about past projects and the business impact of your work. Interviewers often evaluate how you communicate uncertainty and business impact, not only the math. Bringing a clean write-up of a past analysis to the interview is well received.

Good to know

The role works with data, ML, and AI tools to turn analytics into measurable business outcomes.

Mobile games generate engagement for millions of users globally and rely on data-driven optimization.

Modern ML frameworks and cloud platforms support scalable model delivery.

Data science teams operate with product owners and analysts to align on metrics.

Technical leadership communicates across executive and operational audiences.

Career growth

Data careers grow toward senior analyst, staff data scientist, or data engineering lead. Many professionals specialize in machine learning, analytics, or infrastructure. Cross-functional work with product and engineering teams becomes more important at senior levels. The field changes quickly, so continuous learning is part of the job. Professionals who can translate numbers into decisions tend to advance fastest.