Senior Data Scientist - Gaming ML & MLOps Lead

Aristocrat Technologies; Greater London; On-site; GBP 58,000 - 98,000; Full time

Job summary

Aristocrat Technologies in London is seeking a senior Data Scientist to lead end-to-end data science initiatives, delivering ML solutions that boost player engagement, retention, and monetization. You will define problem frames, select methodologies, and partner with game teams to implement impactful decisions.

The role requires substantial ML, MLOps, and software engineering experience. Based in London, the role sits within Product Madness and involves collaboration with Data Engineering,

Qualifications

• PhD or MSc in a quantitative field or equivalent practical experience.
• 5+ years of professional data science experience.
• Delivered at least 3 data or ML products from problem definition to production deployment.
• Proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics.
• Hands-on software engineering experience, MLOps, and deploying ML models at scale.
• Proficiency in SQL and Python.

Responsibilities

• Lead end-to-end data science initiatives from framing to impact measurement.
• Build and deliver ML and reinforcement learning solutions to improve engagement, retention, monetization, and operations.
• Model complex systems with evaluation/monitoring of causal inference, uplift, sequencing, bandits, and forecasting.
• Collaborate with game teams to define success metrics and translate results into product actions.
• Define and uphold engineering standards for model development, validation, reproducibility, and bias checks.
• Drive scalable experimentation with A/B tests, power analysis, variance reduction, and online-offline alignment.
• Ensure dependable data foundations and model deployment pathways with Data Eng, MLOps, and Game Tech teams.
• Build internal data products like AB-test calculators and decision tools.
• Provide technical leadership through code reviews, mentoring, and coaching.

Skills

Data Science

Python

SQL

ML Modeling

Leadership

Education

PhD or MSc in Data Science, CS, Stats, Physics, Math or related field

Tools

AWS

Azure

GCP

Kafka

Spark

MLOps

Job description

Aristocrat Technologies in London is seeking a senior Data Scientist to lead end-to-end data science initiatives, delivering ML solutions that boost player engagement, retention, and monetization. You will define problem frames, select methodologies, and partner with game teams to implement impactful decisions.

The role requires substantial ML, MLOps, and software engineering experience. Based in London, the role sits within Product Madness and involves collaboration with Data Engineering,