Data Scientist - Principal

Product Madness
Charing Cross, United Kingdom
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Charing Cross, United Kingdom

Tech stack

Amazon Web Services (AWS)
Azure
Big Data
Cluster Analysis
Code Review
Information Engineering
Python
Machine Learning
Software Deployment
Software Engineering
SQL Databases
Reinforcement Learning
Spark
Information Technology
Power Analysis (Cryptography)
Kafka
Machine Learning Operations

Job description

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

Requirements

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 MadnessAs 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

About the company

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

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