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Data Scientist

London, England, United Kingdom

Actively hiring, first seen by us 2 days ago
Pay
Pay not listed
Work setting
HybridLocation limits apply — work setting source
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.
Read the full posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

Before you apply

Work authorization
Must already have the right to workPlease note that we are unable to provide visa sponsorship or cover relocation costs for this position at this time

What you’ll work on

Full posting
  • 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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • 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.
Qualification wording
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.

Benefits in the posting

Full benefits wording
  • 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.
  • 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.
  • Company Description

From the employer’s posting.

About Entain

There's nothing like a career at Entain.

In the employer’s words · Read in context

Apply at Entain

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20262 days ago
Recorded sightings
3
Last seen by us
Nov 7, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Entain is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is picking up
  • Takes jobs down quickly
  • 60% of open jobs were reposted
Hiring record

See how this role fits your experience

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.

  • Python
  • SQL
  • AWS
  • Docker
  • GCP
  • PySpark
Where the posting names them
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

Your next step

Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.

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  • Uploading your resume fills in the application form for you, so check what it filled before you send.

Already applied? Track this application

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,815.
August 17Last week

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.

About the role

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.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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

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.

Source details

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Pay

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Location & working pattern

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.
More source context
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
Work authorization
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:

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