We’re Hiring: Data Scientist - Principal

We’re Hiring: Data Scientist - Principal

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
Product Madness ??

At a Glance

  • Tasks: Lead data science initiatives to enhance gameplay and boost player engagement.
  • Company: Join Aristocrat, a leader in the gaming industry focused on bringing happiness through play.
  • Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
  • Other info: Collaborative culture with a focus on innovation and career development.
  • Why this job: Make a real impact on the future of gaming with your advanced data expertise.
  • Qualifications: PhD or MSc in a quantitative field and 5+ years of data science experience.

The predicted salary is between 63000 - 77000 £ per year.

Are you ready to join a world-class team and make a significant impact on the gaming industry? At Aristocrat, we aim to bring happiness to life through the power of play. We seek a Principal Data Scientist to help us reach our ambitious goals. You will have a vital role in enhancing gameplay, boosting player engagement, and improving business outcomes with your advanced data expertise. This opportunity allows you to work on innovative projects, collaborate with diverse teams, and guide critical initiatives that will develop the future of our leading games.

What You'll Do

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

What We Are Seeking

  • Education: PhD or MSc in Data Science, Computer Science, Statistics, Physics, Mathematics, or a related quantitative field, or equivalent experience in practice.
  • Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands‑on experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure).
  • Industry knowledge: Experience in gaming or digital entertainment is a strong plus.
  • Travel Expectations: None

Additional Information

At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

We’re Hiring: Data Scientist - Principal employer: Product Madness ??

At Product Madness, part of Aristocrat, we pride ourselves on being an excellent employer by offering a vibrant and inclusive work culture that champions innovation in gaming and analytics. Our London location provides unique opportunities for career growth, supported by a commitment to employee development and recognition for our outstanding workplace environment. Join us to make a meaningful impact while enjoying the benefits of a collaborative team dedicated to enhancing player engagement.

Product Madness ??

Contact Details:

Product Madness ?? Recruitment Team

We think you need these skills to ace We’re Hiring: Data Scientist - Principal

Data Science
Machine Learning
Reinforcement Learning
Predictive Modeling
Clustering
Bayesian Statistics
SQL