Job description

About The Role

Entain is one of the world’s largest sports betting and gaming groups, operating both online and in the retail sector. With offices across five continents and licences in more than 20 countries, we operate some of the most well-known and iconic brands in the industry with more than 250 years of combined history – names such as Ladbrokes, partypoker, bwin and Coral.

We are a global team central to Entain, building intelligent automated decisioning tools, across all our geographies and brands, to acquire, retain, protect, and engage our customers. This gives us a vast range of opportunities to work on, and our work is paramount to the company’s vision and success. You can choose one of our offices in London, Vienna or Gibraltar. You will benefit from access to learning resources and conferences and be part of a fun and inspirational work environment, enjoying monthly free office breakfast and drinks.

We are looking for a Data Scientist with experience in CRM advanced analytics, including predictive modelling for churn, customer lifetime value, cross sell, forecasting and next best action. Our analytics and models are used in CRM targeting, to personalise and automate communications, offers and digital content for our customers.

You will lead a team that help us discover the information hidden in vast amounts of data and help us make smarter decisions to manage our customers better and deliver even better products. Your team’s primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems that fulfil our marketing strategy and are fully integrated with our products and processes. You will work with stakeholders around the globe to help them understand, test and adopt our models.

Key Responsibilities:
  • Be a trusted advisor within the Entain data science team and the wider stakeholder’s community
  • Propose and build original advanced analytics solutions and strategies to business challenges
  • Translate business problems into data science approaches and help the business understand those
  • Put forward opportunities that can be solved through advanced analytics and work to develop these
  • Contribute to the monitoring of our models and solutions
  • Perform peer QA-ing on advanced analytics activities
  • Build predictive models and machine-learning algorithms and prepare them for deployment into our live production environment
  • Conduct research and development activities, data exploration and discovery, develop prototypes, algorithms and proof of concepts, using leading data science and innovative Big Data solutions
    • Undertake pre-processing of structured and unstructured data for your analytics
    • Analyse large amounts of information to discover trends and patterns
    • Extract valuable business insights and provide recommendations based on those insights
    • Present your findings and recommendations in a visually appealing way to senior stakeholders
    • Communicate with stakeholders (BI analysts, business experts, senior leaders, etc.) and educate them in data science and machine learning subjects



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Additional Information

Qualifications and Educational Requirements
Degree level candidates
MRS qualification preferable but not essential

Essential experience/skills:
  • Experienced in the application of data science concepts in CRM and other business areas
  • Strong data science understanding and experience
  • Proficient in the use of SQL and Python
  • Proficient in the use of Excel and Tableau
  • Experience working in a cloud environment, ideally Google cloud (BigQuery / data proc)
  • Experience in CRM modelling - churn, propensities, cross-sell, etc.
  • Experience in working with vast amounts of data to detect trends and patterns
  • Experience in translating business needs into technical data science requirements
  • Analytics mind-set skill with the ability to turn a business question / problem into an analytics plan, deciding on what data to use, how to transform it, what methods / models to apply, how to turn the outcome into usable, actionable output
  • Familiarity with A/B testing techniques and prototyping
  • Pragmatic thinking & high degree of attention to detail
  • Good understanding of the end to end Machine Learning (ML) environment
  • Good communication and stakeholder management skills, including presentation skills, to communicate clearly, regularly, effectively and meaningfully at the senior level of the organization
  • Ability to form arguments and communicate incredibly technical topics in ways that land the point
  • Experience using Git and GitHub
  • Exposure to Optimisation type of business problems
  • Commercial acumen - interested in the business applications of the model not just the techniques behind the models themselves
  • Evidence of great time management

About The Company

We’re Entain. Powered by our very own technology and building products that push boundaries, Entain is home to a global family of more than 25 well-known brands and over 24,000 people, but we all play for the same team. When we win, we win together. Our vision is to be the world leader in betting, gaming and interactive entertainment by bringing moments of excitement into people’s lives. We will achieve this through our focus on sustainability and growth, driving change in the fast-paced world of entertainment.

Diversity and inclusion at Entain

As a global employer, Entain is committed to providing a safe, fun, and inclusive culture where our people feel like they truly belong. We are a multicultural business that values, celebrates and respects individual differences, so whatever your sexuality, gender, gender identity, ability, age, race, religion or belief, you will have a voice here, and the space to do your best work. Our diverse internal networks provide the support for you to express your views and make a positive difference.

Wellbeing at Entain

We want our employees to feel healthy and supported at home and at work. That's why we have our Well-me programme, which provides information, tools and training to help our people look after their mental and physical wellbeing in ways that matter to them.

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