At a Glance
- Tasks: Lead data science initiatives to enhance gameplay and player engagement in the gaming industry.
- Company: Join Aristocrat, a leader in gaming innovation and creativity.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on data-driven decision-making.
- Why this job: Make a real impact on the future of gaming with your data expertise.
- Qualifications: PhD or MSc in a quantitative field and 5+ years of data science experience.
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.
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: 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. With a focus on employee well-being and engagement, we offer competitive benefits and a chance to be part of a team that is dedicated to bringing happiness to life through the power of play.
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 a presentation that highlights your past projects, especially those related to data science and gaming. This is your chance to shine and demonstrate how you can make an impact.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by doing mock sessions with friends or mentors. Focus on explaining complex concepts in simple terms, as you'll need to communicate effectively with diverse teams.
✨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 team at Aristocrat and making a difference in the gaming world.
We think you need these skills to ace Data Scientist - Principal in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Principal Data Scientist role. Highlight your experience with machine learning, data science projects, and any relevant gaming industry knowledge. We want to see how your skills align with our goals!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the gaming industry and how your expertise can enhance player engagement. Let us know what excites you about working with us at Aristocrat.
Showcase Your Projects:Don’t forget to include specific examples of your past projects, especially those that involved end-to-end data science initiatives. We love seeing how you've tackled complex problems and delivered impactful solutions!
Apply Through Our Website:We encourage you to apply directly 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 clustering, predictive modelling, and reinforcement learning. Be ready to discuss specific projects where you've applied these techniques, as well as the outcomes. This will show that you not only understand the theory but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've framed problems and selected methodologies in past projects. Think of examples where you led initiatives from start to finish, including experiment development and impact measurement. This will demonstrate your ability to take ownership and drive results.
✨Get Familiar with Their Games
Take some time to play Aristocrat's games and understand their mechanics. This will help you connect your data insights to player engagement and retention strategies during the interview. Plus, it shows genuine interest in the company and its products!
✨Prepare for Technical Questions
Expect to dive deep into technical discussions, especially around machine learning model deployment and A/B testing frameworks. Brush up on SQL and Python, and be ready to explain your experience with big data technologies. Being able to articulate your technical expertise will set you apart.
