Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data science initiatives to enhance gameplay and boost player engagement in the gaming industry.
- Company: Join Aristocrat, a global leader in gaming, dedicated to bringing joy through play.
- Benefits: Competitive salary, inclusive culture, career growth opportunities, and remote work options.
- Other info: Be part of a diverse team with a strong focus on innovation and collaboration.
- Why this job: Make a real impact on gaming while working with cutting-edge data technologies.
- Qualifications: PhD or MSc in a quantitative field and 5+ years of data science experience required.
The predicted salary is between 70000 - 90000 £ 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.
Why Product Madness?
As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse.
We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the 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.
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.
Data Scientist - Principal in London employer: Aristocrat technologies
Contact Detail:
Aristocrat technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Principal in London
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming industry, especially those at Aristocrat. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your data science projects. When you get the chance to chat with hiring managers, let your work speak for itself.
✨Tip Number 3
Be ready for technical interviews! Brush up on your SQL, Python, and machine learning concepts. Practising coding challenges can help you feel more confident when it’s time to shine.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our awesome team at Aristocrat.
We think you need these skills to ace Data Scientist - Principal in London
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your data science skills and experience. We want to see how you've tackled complex problems and delivered impactful solutions in the past. Don't hold back – this is your chance to shine!
Tailor Your Application: Make your application stand out by tailoring it to the role. Use keywords from the job description and relate your experiences to what we’re looking for. This shows us that you understand the position and are genuinely interested in joining our team.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured responses that get straight to the heart of your achievements and qualifications. Avoid jargon unless it's relevant – we want to understand your story without getting lost in technical terms.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company and culture while you’re at it.
How to prepare for a job interview at Aristocrat technologies
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in areas like clustering, predictive modelling, and reinforcement learning. Be ready to discuss your past projects in detail, particularly those that involved machine learning solutions and how they impacted player engagement or business outcomes.
✨Showcase Your Collaboration Skills
Since this role involves partnering with game teams and other departments, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you translated complex analytical insights into actionable recommendations for non-technical stakeholders.
✨Demonstrate Technical Leadership
As a Principal Data Scientist, you'll need to show that you can lead and mentor others. Talk about your experience in building and reviewing code, as well as how you've improved data science practices within your previous teams. This will demonstrate your ability to elevate the standard of work across the organisation.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that test your problem framing and methodology selection skills. Think through some real-world problems you’ve tackled in your previous roles and be ready to explain your thought process, from defining the problem to measuring the impact of your solutions.