Principal Data Scientist

Salary: £58,000 - 98,000 per year

Requirements

• We require a PhD or MSc in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, or equivalent practical experience.
• We require 5+ years of professional data science experience.
• We require experience delivering at least 3 data or ML products from problem definition to production deployment and monitoring.
• We require demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics.
• We require hands-on experience in software engineering, MLOps, and deploying machine learning models at scale.
• We require proficiency in SQL and Python.
• We require familiarity with big data technologies such as Kafka and Spark and/or cloud platforms such as GCP, AWS, or Azure.
• Experience in gaming or digital entertainment is a strong plus.

Responsibilities

• We lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement.
• We build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes.
• We lead the modeling framework for complex systems, including evaluation and monitoring of causal inference, uplift modeling, sequential decisioning, bandits/reinforcement learning, and forecasting.
• We partner with game teams to define success metrics, guardrails, and decision frameworks, translating analytical results into actionable product and operational actions.
• We define and uphold engineering standards and guidelines for model development, including validation, uncertainty, reproducibility, and bias/quality checks.
• We drive scalable experimentation with A/B and multi-armed bandit testing frameworks, power analysis, variance reduction, and online-offline alignment.
• We work with Data Engineering, MLOps, and Game Tech teams to ensure dependable data foundations, feature accessibility, and model deployment pathways.
• We build internal data products to improve the speed and quality of decision-making, such as AB-test calculators, decision tools, and automated insights.
• We provide technical leadership through building and code reviews, mentoring, and coaching, improving the standard of data science craft across the organization.
• We serve as a reliable collaborator across the organization, promoting data-informed decision-making and enabling business units to adopt data products.
• We translate complex analytical insights into actionable recommendations and present them to senior leadership to inform critical business decisions and support collaborators.

Technologies

• AWS
• Azure
• Big Data
• Cloud
• GCP
• Support
• Kafka
• Machine Learning
• MLOps
• Python
• SQL
• Spark

More

We are Aristocrat, and through our Product Madness team we aim to bring happiness to life through the power of play. We are a world-class, global team creating top-grossing social casino titles including Heart of Vegas, Lightning Link, and Cashman Casino. Our team has around 800 members worldwide, with headquarters in London and offices in Barcelona, Gdańsk, Lviv, and Montreal, plus a remote team across the USA. We live by our People First principle and foster an inclusive culture where team members can grow their careers and be their best every day. We have been recognized with a place on the 2024 Global Inspiring Workplace Awards list and won a bronze award at the Stevies for Great Employers in the Employer of the Year - Media and Entertainment category. The role is based in London, United Kingdom, is full time, and travel expectations are none.

last updated 36 week of 2026