Principal Data Scientist (Gamedev)

Location: London, United Kingdom

Company

hirify.global develops gaming products and technologies focused on improving gameplay, player engagement, and business outcomes.

What you will do

• Lead data science initiatives from problem framing and methodology selection through experimentation, implementation, and impact measurement.
• Build and deploy machine learning and reinforcement learning solutions for player engagement, retention, monetization, and operational outcomes.
• Develop modeling frameworks covering causal inference, uplift modeling, sequential decisioning, bandits, reinforcement learning, and forecasting.
• Define success metrics, guardrails, decision frameworks, and experimentation standards with game teams.
• Establish standards for model validation, uncertainty, reproducibility, bias, quality checks, and scalable deployment.
• Provide technical leadership through code reviews, mentoring, internal data products, and collaboration with Data Engineering, MLOps, and Game Tech teams.

Requirements

• PhD or MSc in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, or equivalent practical experience.
• At least 5 years of professional data science experience and delivery of at least 3 data or ML products from definition through production monitoring.
• Experience with clustering, predictive modeling, reinforcement learning, and Bayesian statistics.
• Hands-on software engineering, MLOps, and large-scale machine learning model deployment experience.
• Proficiency in SQL and Python, with familiarity with Kafka, Spark, and/or cloud platforms such as GCP, AWS, or Azure.

Nice to have

• Experience in gaming or digital entertainment.

Culture & Benefits

• Work on innovative projects shaping the future of games.
• Collaborate with diverse teams and business units to promote data-informed decision-making.
• Compensation is based on skills, experience, qualifications, and location.
• Depending on role and location, benefits may include annual bonuses, health and wellbeing support, paid time off, retirement plans, insurance coverage, and local statutory benefits.

Hiring process

• Specific compensation details are discussed during the recruitment process.