Senior Data Science Manager, Entain

• A strategic thinker with a deep technical background in data science, machine learning, and AI
• You thrive on transforming complex data into actionable insights
• Deep knowledge in AI / Machine Learning, Statistical Analysis, and Algorithm Design
• Strong experience in Data Lifecycle Management, Predictive Analytics, Data Governance, and Cloud Computing
• Proficient in Programming/Scripting (e.g., Python, R, SQL) and developing scalable data solutions
• Skilled in Data Commercialisation, KPI Design, Business Analysis, and Data Model Management
• Strong understanding of AI Ethics and responsible data use
• Proven ability to translate complex data into clear business value for non-technical audiences
• Experience recruiting, coaching, and retaining top data talent
• Skilled at creating positive, high-performance team cultures
• Demonstrated success in setting clear strategic goals and delivering results
• Degree educated in a relevant field (e.g., Computer Science, Statistics, Engineering, Mathematics)
• A proven track record in senior data science or AI leadership roles
• Excellent communication and stakeholder management skills
• Experience working in large, data-rich organisations (preferably within technology, gaming, or digital sectors)
• Analytical Thinking: Critical, commercial insight-driven mindset
• Agility & Adaptability: Thrive in a fast-paced, ever-evolving environment
• Integrity: Trusted leader who leads by example
• Collaboration: Team-oriented with strong stakeholder engagement skills

Desirable

• At Entain, we're looking for a Senior Data Science & AI Manager to lead our world-class team in delivering transformative, data-driven solutions across our global operations
• As our Senior Data Science & AI Manager, you’ll lead a team of data scientists and AI experts to develop cutting-edge models, uncover critical business insights, and drive strategic decisions
• Your work will power innovation across all stages of Entain’s product lifecycle — from inception through growth and maturity — shaping the future of data at one of the world’s largest sports betting and gaming groups
• Team Leadership: Manage and develop high-performing teams of data scientists, fostering a collaborative and innovative environment
• Project Oversight: Coordinate the distribution of projects, tools, and data, ensuring alignment with business strategy and data function goals
• Advanced Modelling: Oversee the creation of custom data models and algorithms to address complex business problems
• Strategic Influence: Serve as a subject matter expert, contributing to the Data Science & AI strategy and roadmap
• Insight Delivery: Present complex findings clearly through data storytelling, visualisations, and stakeholder engagement
• Mentorship & Growth: Coach and develop talent, creating pathways for career progression and technical excellence
• Continuous Improvement: Drive process optimisation and best practices across the Data Science & AI function
• Business Impact: Prioritise initiatives based on commercial value and impact, ensuring data science projects deliver measurable results