Data Scientist, Entain

• We are looking for a passionate, and curious Data Scientist who will help us discover and monetize the information hidden in our unmatched data sets, helping us make smarter decisions to better serve our customers, and grow our products
• Proven applied data science experience in commercial or CRM environments, with a strong focus on delivering models that drive customer engagement, retention, and lifetime value
• Demonstrated ability to deliver end-to-end solutions, from ideation and experimentation through to production deployment and ongoing monitoring
• Hands-on experience developing player value models or similar customer lifetime value models
• Strong proficiency with large-scale data analytics to identify patterns, trends, and actionable insights
• Python for data science, prototyping, and model development
• SQL, including advanced use of window functions, partitions, and complex aggregations
• PySpark for distributed processing and scalable data workflows
• Version control systems such as Git, with an emphasis on reproducibility and best coding practices
• Pragmatic, detail-oriented thinker with the ability to deliver business value quickly without compromising technical quality
• Comfortable working with ambiguous or evolving requirements, shaping them into clear, testable hypotheses, and able to challenge scope or success metrics when appropriate
• Strong commercial awareness and interest in how data models impact key business metrics
• Able to work independently and collaboratively within a cross-functional, multidisciplinary team

Desirable

• You will join the Commercial Analytics department within Finance, where our remit spans all regions across the Entain portfolio
• We build models and deliver insights that inform decisions for any geography or brand, making our work truly global in impact
• Our project portfolio is broad and impactful, directly influencing the company’s strategy and performance
• You will work alongside experienced data scientists on initiatives that determine the future of our products
• This position can be based in either Gibraltar or London, where you will benefit from access to learning resources, conferences, and a fun and inspirational work environment
• Design, build, and deploy machine learning models and algorithms, taking projects from ideation through to live production in our environment
• Collaborate closely with other Data Scientists, Data Engineers, and stakeholders across Finance and the wider business to ensure models and solutions align with commercial objectives
• Analyse large and complex datasets to identify trends, patterns, and actionable insights, presenting findings in a commercially impactful way
• Extract and interpret business insights, providing clear, data-driven recommendations to influence decision-making
• Pre-process and prepare both structured and unstructured data for analytics and modelling
• Research and experiment with new methods, technologies, and tools—bringing the best from the wider data science community into our work
• Communicate clearly about methodologies, assumptions, and results to both technical and non-technical audiences