Senior Data Scientist at Entain

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

0.0

Posted On

06 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Python, SQL, PySpark, Data Analytics, Data Engineering, Model Development, Version Control, Commercial Awareness, Customer Engagement, Data Preparation, Cloud Environment, eGaming, Statistical Analysis, Data Visualization

Industry

Entertainment Providers

Description

Company Description We’re Entain. Our vision is to be the world leader in sports betting and gaming entertainment by creating the most exciting and trusted experience for our customers, revolutionizing the gambling space as we go. We're home to a global family of more than 25 well-known brands, and with a focus on sustainability and growth, we will transform our sector for our players, for ourselves and for the good of entertainment. Job Description 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. 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. *Please note we are unable to provide visa sponsorship or relocation costs covered for this position at this time* Key Responsibilities 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 other Entain office might be required. 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 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. Additional Information At Entain, we know that signing top players requires a great starting package, and plenty of support to inspire peak performance. Join us, and a competitive salary is just the beginning. Working for us in London or Gibraltar, you can expect to receive great benefits like: Generous group bonus scheme Hybrid working Private medical insurance Pension scheme – matched to 6% Ability to buy and sell holiday Free subscription to wellbeing app Unmind Additional “It’s Your Game” day off to use at either Christmas or New Year Entain & Enhance days – 2 paid days off to focus on your professional or personal development Share save scheme And outside of this, you’ll have the chance to turn recognition from leaders and colleagues into amazing prizes. Join a winning team of talented people and be a part of an inclusive and supportive community where everyone is celebrated for being themselves. Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us. At Entain, we do what's right. It's one of our core values and that's why we're taking the lead when it comes to creating a diverse, equitable and inclusive future - for our people, and the wider global sports betting and gaming sector. However you identify, our ambition is to ensure our people across the globe feel valued, respected and their individuality celebrated. We comply with all applicable recruitment regulations and employment laws in the jurisdictions where we operate, ensuring ethical and compliant hiring practices globally.

Responsibilities

Design, build, and deploy machine learning models and algorithms while collaborating with other data scientists and stakeholders. Analyze large datasets to identify trends and provide actionable insights to influence decision-making.