Time since we first saw it
Day 2
Early. Similar jobs usually come down between day 7 and day 57.
At Entain, jobs usually come down by about day 7.
From 10,558 similar postings that came down, and 64 of Entain’s. Coming down is not always a hire.
London, England, United Kingdom
Actively hiring, first seen by us 2 days agoJob 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.Read the full posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Please note that we are unable to provide visa sponsorship or cover relocation costs for this position at this time
Design, build and deploy machine learning models into live production
Analyse large, complex datasets for trends and actionable insights
Give clear, data-driven recommendations to guide business decisions
Pre-process structured and unstructured data for analytics and modelling
Research new methods and tools and bring them into the team's work
Design, build, and deploy machine learning models and algorithms, taking projects from ideation through to live production in our environment.
Analyse large and complex datasets to identify trends, patterns, and actionable 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
Demonstrated ability to deliver end-to-end solutions, from ideation and experimentation through to production deployment and ongoing monitoring.
Python for data science, prototyping, and model development
Experience working in a cloud environment (GCP, AWS).
Hands-on experience developing player value models or similar customer lifetime value models.
SQL, including advanced use of window functions, partitions, and complex aggregations
Familiarity with modern tooling such as Airflow, Docker, and containerised deployments.
From the employer’s posting.
There's nothing like a career at Entain.
In the employer’s words · Read in context
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 2
Early. Similar jobs usually come down between day 7 and day 57.
At Entain, jobs usually come down by about day 7.
From 10,558 similar postings that came down, and 64 of Entain’s. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Solid development skills in: - Python for data science, prototyping, and model development - SQL, including advanced use of window functions, partitions, and complex aggregations
- 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
Desired: - Experience working in a cloud environment (GCP, AWS). - Familiarity with modern tooling such as Airflow, Docker, and containerised deployments.
- 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.
- 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
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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:
You Have:
Solid development skills in:
Desired:
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:
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
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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London, England, United Kingdom
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.
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 Company Description
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: