Principal Data Scientist

Principal Data Scientist

Full-Time 63000 - 77000 £ / year (est.) On-site
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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 pay, health benefits, bonuses, and opportunities for professional growth.
  • Other info: Collaborative environment 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: Ph D 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.

This job description may have been reviewed and enhanced using AI-assisted tools to improve clarity, consistency, and inclusivity.

All final content, role requirements and hiring decisions remain subject to human review and approval by Aristocrat.

Compensation Philosophy

We offer a comprehensive pay and benefits package designed to stay competitive in the market, support your wellbeing, and recognise your contribution to our success.

Our approach is underpinned by a pay-for-performance belief in rewarding individual impact.

Your specific compensation package will be determined by factors such as your skills, experience, qualifications, and location.

Depending on your role and location, you may be eligible for annual bonuses and incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits.

Specific details about compensation and benefits for this position will be discussed during the recruitment process.

Principal Data Scientist employer: Aristocrat Gaming

Aristocrat Gaming is an exceptional employer that fosters a dynamic and innovative work culture, where employees are empowered to drive growth and make a meaningful impact in the gaming industry. With a strong focus on professional development, team collaboration, and customer excellence, you will find ample opportunities for career advancement while working alongside passionate individuals in a vibrant EMEA market. Join us to be part of a forward-thinking company that values your contributions and supports your journey towards success.

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Contact Details:

Aristocrat Gaming Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Data Scientist

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We think you need these skills to ace Principal Data Scientist

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

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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How to prepare for a job interview at Aristocrat Gaming

✨Brush Up on Your Statistics

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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.