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

Nominate & Attend

Senior Data Science Director, London

Aristocrat
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer (NLP & ML)

Senior Marketing Data Scientist - Strategic Growth Partner

Senior Forward Deployed Data Scientist

Senior Data Analyst - UKRI Research & Development Missions (RDMP) Hub

Graduate/Trainee Recruitment Consultant

Associate Director of AI

Senior Data Science Director
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 Were Looking For

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?
Our Values

People First
We have the deepest respect for our people and their well being. We know they are exceptionally talented and will always have a choice. We want them to re-choose us every day. We are committed to building a culture where each persons voice will always be heard and addressed.

MAD for More
Always improving, innovating and never settling for the existing. We push all boundaries with courage and ambition to become the world s best games company.

Champion Together
We excel at what we do but yet remain humble and helpful to our teammates. We champion one another and hold each other to high standards without any egos.

Globally Inclusive
We are all Equal - regardless of the language we speak, where we live, our gender, religion or culture we come from. We want to build a global home, where everyone has the equal opportunity to make an impact.

Customer Focused
We always think from the customers perspective - be it players or internal customers.
Improving their experience and joy is what drives us. Every clients success is our big win!

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.

Hadoop, Kafka

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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.