Data Scientist - Principal in London

Data Scientist - Principal in London

London Full-Time 80000 - 100000 ÂŁ / year (est.) No home office 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 options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on mentorship and career development.
  • Why this job: Make a real impact on the future of gaming with innovative data solutions.
  • Qualifications: PhD or MSc in a quantitative field and 5+ years of data science experience.

The predicted salary is between 80000 - 100000 ÂŁ 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: Product Madness ??

At Aristocrat, we pride ourselves on fostering a vibrant and inclusive work culture that champions innovation and collaboration. As a Principal Data Scientist, you will not only have the opportunity to lead transformative projects in the gaming industry but also benefit from continuous professional development and mentorship. Our commitment to employee growth, coupled with our focus on creating engaging and enjoyable experiences, makes Aristocrat an exceptional employer for those looking to make a meaningful impact.
Product Madness ??

Contact Detail:

Product Madness ?? 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

Practice makes perfect! Get ready for technical interviews by brushing up on your SQL, Python, and machine learning concepts. We all know that confidence is key, so the more prepared you are, the better you'll perform.

✨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 an impact in the gaming world.

We think you need these skills to ace Data Scientist - Principal in London

Data Science
Machine Learning
Reinforcement Learning
Predictive Modeling
Clustering
Bayesian Statistics
SQL
Python
MLOps
Software Engineering
Big Data Technologies
Cloud Platforms
Experimentation
Data Analysis
Technical Leadership

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 products, and any relevant projects that showcase your skills in gaming or digital entertainment.

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 help us enhance gameplay and player engagement. Be genuine and let your personality come through.

Showcase Your Projects: Don’t just list your skills; show us what you’ve done! Include specific examples of data science initiatives you've led, especially those that resulted in measurable outcomes. We love seeing real-world applications of your work.

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 the role. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at Product Madness ??

✨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 clearly. This will show that you can not only analyse data but also translate it into actionable insights.

✨Familiarise Yourself with the Gaming Industry

Since this role is in the gaming industry, it’s crucial to understand the landscape. Research Aristocrat's games and think about how data science can enhance gameplay and player retention. Being able to discuss industry trends will demonstrate your genuine interest and fit for the role.

✨Prepare for Technical Questions

Expect technical questions related to SQL, Python, and big data technologies. Brush up on your coding skills and be prepared to solve problems on the spot. Practising coding challenges or discussing your past experiences with model deployment can give you an edge during the interview.

Data Scientist - Principal in London
Product Madness ??
Location: London

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

>