At a Glance
- Tasks: Lead impactful data science projects and develop machine learning solutions for player engagement.
- Company: Join Product Madness, a global leader in social casino gaming.
- Benefits: Flexible work environment, career growth opportunities, and an inclusive culture.
- Other info: Collaborative team culture with a focus on innovation and excellence.
- Why this job: Make a real impact in the gaming industry with cutting-edge data science.
- Qualifications: PhD or MSc in a quantitative field and 5+ years of data science experience.
The predicted salary is between 43200 - 72000 £ per year.
Principal Data Scientist
Remote type: Hybrid
Locations: London, United Kingdom
Time type: Full time
Posted on: Posted Today
Job requisition id: R0020855
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 Leisure
At Product Madness, we pride ourselves on being a People First organisation, where our team members are empowered to grow their careers in a dynamic and inclusive environment. Located in the vibrant city of London, we offer a hybrid work model that promotes flexibility while collaborating with a world-class team dedicated to creating top-grossing titles in the gaming industry. With recognition as an inspiring workplace and awards for excellence in employee engagement, we provide a unique opportunity for data scientists to lead impactful projects and contribute to a culture of innovation and success.
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 industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving machine learning and reinforcement learning. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to translate analytical insights into actionable recommendations during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Product Madness.
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 products, and any relevant projects that showcase your skills in problem framing and impact measurement.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of your past work, especially those that align with our mission of improving player engagement and retention through data-driven insights.
Showcase Your Technical Skills:Don’t forget to highlight your technical expertise! Mention your proficiency in SQL, Python, and any big data technologies you’ve worked with. We want to see how you can contribute to our data foundations and model deployment pathways.
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 us you’re keen on joining our team!
How to prepare for a job interview at Aristocrat Leisure
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around machine learning and reinforcement learning. Be ready to discuss your past projects in detail, focusing on the methodologies you used and the impact they had.
✨Showcase Your Collaboration Skills
Since this role involves working with game teams and other departments, be prepared to share examples of how you've successfully collaborated in the past. Highlight your ability to translate complex data insights into actionable recommendations for non-technical stakeholders.
✨Prepare for Technical Questions
Expect some technical questions related to SQL, Python, and big data technologies. Brush up on your coding skills and be ready to solve problems on the spot. Practising common data science interview questions can really help you feel more confident.
✨Demonstrate Your Leadership Qualities
As a Principal Data Scientist, you'll need to show that you can lead and mentor others. Think of instances where you've provided technical leadership or improved processes within your team. Be ready to discuss how you can elevate the standard of data science across the organisation.
