Please note that we are unable to provide visa sponsorship or cover relocation costs for this position at this time.
You Will
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.
Occasional travel to Gibraltar might be required.
You Have
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
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.
Desired
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.
Benefits
At Entain, we know that signing top players requires a great starting package, and plenty of support to inspire you. Join us, and a great compensation package is just the beginning. You can expect to receive benefits like:
A regular bonus and great pension.
25 days annual leave and all Bank holidays.
Extra paid leave, including wellbeing and development days.
Life assurance and Income Protection.
Private healthcare and wellbeing support.
A stake in our success through our ShareSave scheme.
How we use Artificial Intelligence (AI) in recruitment
We may use approved AI tools to make recruitment simpler and more efficient, while keeping people at the heart of what we do. These tools support our teams and give them more time to focus on you.
Fairness, transparency and trust
Our recruiters and hiring managers oversee how we use AI and remain responsible for hiring decisions. These tools support administrative aspects of the recruitment process, giving our teams more time to focus on you We're open about its use and handle your information following our Job Applicant Privacy Notice. AI supports our decisions, it doesn't make them.
Equal Opportunities.
If you need any reasonable adjustments at any stage of the recruitment process, please contact us and we'll support you.
We're committed to creating a diverse, equitable and inclusive workplace where everyone feels valued, respected and able to be themselves.
We're an equal opportunities employer. We welcome applications from everyone and we do not discriminate based on age, disability, gender or gender reassignment, pregnancy or maternity, race, religion or belief, sexual orientation, marriage/civil partnership, or any other basis.
We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally.
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