Senior Data Science Director, London

Senior Data Science DirectorAs 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