Entain plc Logo

Entain plc

Data Scientist

Posted 7 Days Ago
Be an Early Applicant
Hybrid
London, England, GBR
Entry level
Hybrid
London, England, GBR
Entry level
Build and deploy machine learning models, analyze complex datasets, and generate commercial insights that improve customer engagement, retention, lifetime value, and business decisions. Collaborate with data scientists, engineers, and stakeholders across Finance and global brands. Prepare structured and unstructured data, research new methods, communicate findings, and deliver end-to-end solutions from experimentation through production monitoring.
The summary above was generated by AI
Company Description

About Entain

There's nothing like a career at Entain. We're a leading, global sports betting and gaming company and we're upping the excitement and increasing player safety. We're a FTSE company with iconic brands including Ladbrokes, Coral, BetMGM, Eurobet and bwin, and we have an energy that drives us to perform at the height of our potential. Whether you're an engineer, marketer or retail specialist, a career here is a complete game changer.

Job Description

This is a hybrid role. As a Data Scientist, you will help us discover and monetise the information hidden within our unmatched data sets, using data science to support smarter decision-making, better serve our customers and drive the growth of our products.

Reporting to the Head of Data Science, you will be part of the Commercial Analytics team within Finance, whose remit spans all regions across the Entain portfolio. You will work 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 our strategy and performance.

This is an exciting opportunity to work on meaningful, high-impact data science projects with a truly global reach, while benefiting from access to learning resources, conferences and a collaborative working environment. If you are passionate about data, naturally curious and excited by the opportunity to use data science to shape the future of our products, we'd love to hear from you.

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.

Qualifications

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.

Additional Information

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.

 

#LI-Hybrid

HQ

Entain plc London, England Office

London, United Kingdom

Similar Jobs

7 Days Ago
Hybrid
London, Greater London, England, GBR
Junior
Junior
AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Conduct statistical analysis, experimentation, and deep dives to identify performance drivers and generate actionable recommendations. Extract and transform data, build analytical models, create visualizations and scalable Tableau dashboards, and develop data-driven business cases. Collaborate with stakeholders to define analytical problems and communicate insights that support product development, commercial performance, and strategic decision-making.
Top Skills: A/B TestingAdobe AnalyticsCausal InferenceGoogle AnalyticsPythonSQLTableau
8 Days Ago
Hybrid
Entry level
Entry level
Digital Media • Gaming • Software • Esports • Automation
Develop machine learning and statistical models, analyze large datasets, conduct exploratory analysis and A/B tests, and translate findings into actionable business insights. The role partners with Fraud, Responsible Gambling, Trading, and Branding stakeholders, contributes to scalable data science infrastructure, communicates results through visualizations and presentations, and promotes innovative data science methods across the analytics team.
Top Skills: Big Data TechnologiesCloud ComputingDeep LearningDistributed SystemsMachine LearningPythonRSQL
8 Days Ago
Hybrid
Entry level
Entry level
Digital Media • Gaming • Software • Esports • Automation
Develop machine learning and statistical models, analyze large datasets, conduct exploratory analysis and controlled experiments, and generate actionable insights for sports and gaming products. The role involves building scalable data science infrastructure, partnering with Fraud, Responsible Gambling, Trading, and Branding stakeholders, and communicating findings to technical and non-technical audiences through reports, visualizations, and presentations.
Top Skills: A/B TestingArtificial IntelligenceBig Data TechnologiesCloud ComputingData MiningData VisualizationData WarehousingDeep LearningDistributed SystemsMachine LearningPythonRSQL

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account