Data Scientist

Data Scientist

Full-Time 63000 - 77000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and deploy machine learning models to unlock insights from vast data sets.
  • Company: Join Entain, a leading global sports betting and gaming company with iconic brands.
  • Benefits: Enjoy competitive pay, bonuses, private healthcare, and 25 days annual leave.
  • Other info: Hybrid role with opportunities for travel and professional development.
  • Why this job: Make a real impact on global projects while collaborating with experienced data scientists.
  • Qualifications: Experience in data science, strong Python and SQL skills, and a passion for analytics.

The predicted salary is between 63000 - 77000 £ per year.

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.

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.

Data Scientist employer: Entain

Entain is an exceptional employer, offering a dynamic and inclusive work environment where creativity thrives. As a Senior Motion Designer, you'll have the opportunity to work on high-profile campaigns for iconic brands while enjoying benefits like hybrid working, private medical insurance, and dedicated professional development days. Join us in shaping the future of sports betting and gaming through innovative storytelling and impactful content creation.

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Contact Details:

Entain Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Entain!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Entain.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Entain.

✨Apply Directly through Our Website

When you find a suitable opening like Data Scientist at Entain, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Scientist

Python
Communication Skills
SQL
Problem-Solving Skills
Automation
API Integration
Data Engineering

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Entain, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Entain. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Entain

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Entain!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.