Principal Data Scientist

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

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