Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Science Director, London

Aristocrat
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Director, Data Science Innovation Lead

Senior Consultant Data Scientist

Senior Director of Data Science & Insights

Director of AI Optimization and Productization - R&D Data Science & Digital Health

Risk Management & Compliance - Data Scientist Director

Senior Pricing Data Scientist

Senior Data Science Director
As the Senior Director of Data Science, you will be a ground-breaking leader, responsible for guiding and inspiring aa dedicatedteam of data scientists and machine learning engineers. In this role, you ll drive the thought leadership and development of innovative data solutions that enhance gameplay, improve user engagement, and optimize business outcomes. You will be a key partner for cross-functional teams including product management, game operations, and growth leveraging your data expertise to deliver engaging mobile games as well as industry-leading marketing performance.

Key Leadership Responsibilities

Visionary Leadership: Define and communicate a clear vision and strategy for data science, ensuring alignment with organisational goals while inspiring your team to innovate and excel.
Mentorship Development: Provide ongoing mentorship, coaching, and professional development opportunities to foster growth and enhance team performance. Create a collaborative and high-performance team culture that attracts top talent and encourages long-term career progression.
Be a trusted advisor to senior executives and cross-functional leaders, advocating for data-driven decisions.
Change Management: Lead the adoption of data science practices and continuous improvement, managing agility, return on investment, and keeping the company up to date with evolving industry trends.
Ownership Accountability: Assume full accountability for the data science function, from project execution to final integration and outcome assessment, ensuring that your team delivers impactful results on time and within scope.
Key Technical Responsibilities

Data Science Strategy Best Practices: Drive standard processes in A/B-testing, predictive modelling, user clustering and reinforcement learning, to continually improve on data science value.
Infrastructure Ownership: Lead the development of data science frameworks, including A/B testing and other data science tooling. Ensuring scalability, accuracy, and reliability across projects.
Product Engineering Collaboration: Supervise integration of data science solutions into games and platforms, partnering closely with product and engineering to ensure end-to-end solution success.
Growth Marketing Innovation: Collaborate with growth and marketing teams to develop advanced prediction models that support a dynamic, high-performance marketing landscape.
Insight Communication: Translate complex analytical insights into actionable recommendations, presenting them to the senior leadership team to inform critical business decisions.

What we need from you
PhD or MSc or equivalent experience in Data Science, Computer Science, Statistics, Physics, or a related field.
Experience : 10+ years of data science experience, with a minimum of 5 years in a leadership role, managing teams in dynamic and collaborative environments.
Technical Skills:

Proven expertise in clustering, predictive modelling, reinforcement learning, and Bayesian statistics.
Experience in reinforcement learning and Agentic systems would be ideal
Experience in ML Ops and deploying machine learning models at scale.
Proficiency in Python or R, and familiarity with big data technologies (e.g., Hadoop, Kafka) and/or cloud platforms (e.g., GCP or Azure).
Industry Knowledge: Experience in gaming or digital entertainment is a strong plus.
Communication Influence: Exceptional communication and interpersonal skills, with the ability to inspire and influence collaborators at all levels of the organization, from junior analysts to executive leadership.

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, Gda sk, 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.
So, what s stopping you?
Travel Expectations
Up to 25 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.

Python, R,

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.