Esports
Data Scientist
Mid Level
London, United Kingdom
hybrid
Full time
Job description
About the Role
This is a hybrid Data Scientist role focused on discovering and monetising the information hidden within Entain's data sets, using data science to support smarter decision-making, better serve customers and drive the growth of its products. The role reports to the Head of Data Science and sits within the Commercial Analytics team in Finance, whose remit spans all regions across the Entain portfolio. The postholder works alongside experienced data scientists to build models and deliver insights that inform decisions across different geographies and brands, contributing to a broad portfolio of projects that directly influence strategy and performance.
Key Responsibilities
- Design, build and deploy machine learning models and algorithms, taking projects from ideation through to live production in the Entain 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 the team's work.
- Communicate clearly about methodologies, assumptions and results to both technical and non-technical audiences.
Required Experience & Qualifications
- 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.
- Solid development skills in Python for data science, prototyping and model development.
- Solid development skills in SQL, including advanced use of window functions, partitions and complex aggregations.
- Solid development skills in PySpark for distributed processing and scalable data workflows.
- Solid development skills in 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.
Preferred Skills
- Experience working in a cloud environment (GCP, AWS).
- Familiarity with modern tooling such as Airflow, Docker and containerised deployments.
- Interest or prior experience in the eGaming sector, especially Sports Betting, Casino, Poker or Bingo.
Workplace
- Hybrid working arrangement.
- Occasional travel to Gibraltar may be required.
- Visa sponsorship and relocation costs are not provided for this position.
Benefits & Perks
- A regular bonus and a great pension.
- 25 days annual leave plus all Bank holidays.
- Extra paid leave, including wellbeing and development days.
- Life assurance and Income Protection.
- Private healthcare and wellbeing support.
- A stake in the company's success through the ShareSave scheme.
The Application Process
Approved AI tools may be used to make recruitment simpler and more efficient, supporting administrative aspects of the process so that teams have more time to focus on candidates. Recruiters and hiring managers oversee how AI is used and remain responsible for hiring decisions. Reasonable adjustments are available at any stage of the recruitment process on request.
- Applications are reviewed by recruiters and hiring managers, who remain responsible for all hiring decisions.
About the Company
Entain is a leading, global sports betting and gaming company that is upping the excitement and increasing player safety.
Create your account to access job details
Unlock full job descriptions, apply in seconds, and get access to roles matched to your experience and interests.




