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 data-driven decision-making.
- 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 80000 - 100000 £ 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.
Data Scientist - Principal employer: GamblingCareers.com
At Aristocrat, we pride ourselves on being a world-class employer that fosters innovation and creativity in the gaming industry. Our collaborative work culture encourages professional growth through mentorship and diverse project opportunities, allowing you to make a meaningful impact while enjoying a supportive environment. Located in a vibrant area, we offer competitive benefits and a commitment to employee well-being, making us an ideal choice for those looking to advance their careers in data science.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Principal
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming industry, especially those at Aristocrat. Use LinkedIn or industry events to connect and chat about your passion for data science and gaming.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to gaming. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the gaming landscape. Be ready to discuss how your expertise can enhance player engagement and improve business outcomes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Aristocrat.
We think you need these skills to ace Data Scientist - Principal
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Principal Data Scientist role. Highlight your data science projects, especially those related to gaming or digital entertainment, to show us you’re a great fit!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to enhancing gameplay and player engagement at Aristocrat. Be genuine and let your personality come through.
Showcase Your Technical Skills:We want to see your technical prowess! Make sure to mention your experience with SQL, Python, and any big data technologies you've worked with. If you've deployed machine learning models, share those stories to impress us!
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 this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at GamblingCareers.com
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially in areas like machine learning and reinforcement learning. Be ready to discuss specific projects you've worked on, focusing on the methodologies you used and the impact they had on player engagement or business outcomes.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you approach problem framing and methodology selection. Think of examples where you’ve led high-impact initiatives from start to finish, and be ready to explain your thought process and the results achieved.
✨Get Familiar with the Gaming Industry
Since this role is in the gaming sector, it’s crucial to understand the industry trends and challenges. Research Aristocrat's games and think about how your data expertise can enhance gameplay and improve player retention. This will show your genuine interest in the company and its mission.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of SQL, Python, and big data technologies. Practice coding problems and be ready to discuss your experience with deploying machine learning models at scale. This will demonstrate your hands-on experience and technical leadership capabilities.
