National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Science Director

Aristocrat
London
3 weeks ago
Create job alert

As the Senior Director of Data Science, you will be a transformational leader, responsible for guiding and inspiring a talented team of data scientists and machine learning engineers. In this role, you’ll drive the thought leadership and development of cutting-edge 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.Stakeholder Partnership:Act as a trusted advisor and thought leader across the organisation, particularly with senior executives and cross-functional leaders, advocating for data-driven decision-making and empowering business units to leverage data science insights.Change Management:Lead the adoption of data science practices and continuous improvement, managing agility, ROI, 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 best practices in A/B-testing, predictive modelling, user clustering and reinforcement learning, to continually raise the bar on data science value add.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:Oversee 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 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 stakeholders at all levels of the organization, from junior analysts to executive leadership.

What We're Looking For

.

WhyProduct 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.

So, what’s stopping you?

Travel Expectations

Up to 25%

Additional Information

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Analyst, Strategic Marketing

▷ 15h Left: Head of Enterprise Data Science and AI Platforms...

Head of Enterprise Data Science and AI Platforms...

Senior Director Merchant Risk Data Science

National AI Awards 2025

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.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.