As the Manager of Data Science, Games Tech, you will be a transformational leader, responsible for guiding and inspiring a dedicated team of data scientists and machine learning engineers. In this role, you’ll drive the creation of groundbreaking data solutions that enhance gameplay, improve user engagement, and optimize business outcomes. As a key partner for multi‑functional teams—including game developers, data analysts, product, and game operations managers—you will use your ML and data expertise to build internal data tools that support decision making and develop customer‑facing data products that enable personalized experiences in our industry‑leading games.
Leadership Responsibilities
- Mentorship & Development: Provide ongoing mentorship, coaching, and professional development opportunities to foster growth and enhance team performance.
- Partnerships: Act as a trusted partner across the organisation, advocating for data‑driven decision‑making and empowering business units to adopt data products.
- Ownership & Accountability: Assume full accountability for the data science project execution to final integration and outcome assessment, ensuring that your team delivers impactful results on time and within scope.
- Insight Communication: Translate sophisticated analytical insights into actionable recommendations, communicating them to the senior leadership team to advise critical business decisions, with the ability to encourage and influence stakeholders.
Technical Responsibilities
- Data Science Best Practices: Drive best practices in A/B‑testing, predictive modelling, user clustering and reinforcement learning, continually setting the standard for data science benefit.
- Engineering Best Practices: Implement the best software engineering practices for internal tools and ML/RL model development, define software architecture standards, implement code review practices, auto‑tests, and improve observability, reproducibility and monitoring of ML/RL solutions.
- Infrastructure Ownership: Own the development of analytical frameworks, including A/B testing (using Bayesian Inference and contextual multi‑armed bandits techniques) and other data science tooling, ensuring scalability, accuracy and reliability across projects.
- Product & Engineering Collaboration: Coordinate integration of analytical solutions into games and platforms, partnering closely with product and engineering to ensure end‑to‑end solution success.
Qualifications and Requirements
- Expertise in clustering, predictive modelling, reinforcement learning, and Bayesian statistics.
- PHD or MSc or equivalent experience in Data Science, Computer Science, Statistics, Physics or related field.
- 5+ years of Data Science experience with a minimum of 2 years in a leadership role.
- Practical experience in software engineering, with a proven track record in design and development of customer‑facing products.
- Experience in ML Ops and deploying machine learning models at scale.
- Proficiency in Python and familiarity with data processing technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure).
- Ability to work on a hybrid work basis requiring at least 3 days a week in our central London office.
- 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.
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