WHO ARE WE
We’re Entain, and our vision is a simple one; to be the world leader in sports betting and gaming entertainment by creating the most exciting and trusted experience for our customers, revolutionising the gambling space as we go. We're home to a global family of more than 25 well-known brands we’re pretty sure you will have heard of before – Ladbrokes, Coral, Foxy Bingo, Gala Bingo, PartyPoker, Bwin... the list goes on.
Don’t just read about our journey though, check out this video whilst you review the rest of this job advert. Watch here: We’re Entain.
WHAT'S IN IT FOR YOU
We offer a competitive industry salary plus an annual company bonus. Other benefits include daily lunch vouchers, discounts and life insurance. We also have several events, sports activities and pro-bono activities for the team to enjoy.
WHAT YOU WILL DO
We are looking for a passionate, and curious Data Scientist who will help us discover and monetise the information hidden in our unmatched data sets, helping us make smarter decisions to better serve our customers, and grow our products.
We work on exciting and novel machine learning problems, with a modern and evolving technology stack; finding the right answer, not just the first answer to these key initiatives.
We are a global team operating across the Entain portfolio, embedded into the business activities across all our geographies and brands; with a clear mandate to support customer acquisition, retention, and protection.
Our project portfolio is both broad and deep, and our work is visible and impactful to the company’s vision and success.
You can choose one of our established offices in London, Gibraltar or Vienna. You will benefit from access to learning resources and conferences and be part of a fun and inspirational work environment.
You will be a key player working alongside experienced data scientists on exciting initiatives which determine the future of our products (critically, you will not be focusing on building dashboards and reports).
WHAT YOU WILL BE INVOLVED IN
- Building models and machine-learning algorithms, taking the opportunity from ideation through to deployment in our live production environment
- Analysing large amounts of information to discover trends and patterns, presenting the results in a commercial impactful manner
- Extracting and interpreting the business insights and provide recommendations based on those insights
- Appling mathematical rigor and a highly refined sense of both "where to look next" and "what to do instead" when performing your analysis
- Undertaking pre-processing of structured and unstructured data for your analytics
- Conducting research and development activities, data exploration and discovery, develop prototypes, algorithms and proof of concepts, leveraging leading data science and technology solutions – bring in the best of the wider community to the team.
- For an extensive list of projects you will work on within this role, you can download our full role spec in on our careers page within the job profile!
WHO ARE YOU
- Experienced in the application of data science, having applied these concepts in CRM or other commercial settings
- Strong data science understanding and experience of solution delivery from idea to production
- Pragmatic thinking & high degree of attention to detail; able to operate as an individual contributor, as well as part of a larger team Experience in working with vast amounts of data to detect trends and patterns
- Comfortable working with ambiguous requirements, and translating these into testable experiments, challenging and clarifying scope and success measures as needed.
- Commercial acumen - interested in the business applications of the model not just the techniques behind the models themselves
- Development experience in Python, SQL (including concepts like sliding window, partition-based calculations); plus, key concepts such as version control.
We are also keen for people to be naturally motivated, curious and eager to learn. We love honesty and integrity, live and breathe team spirit and play as one team. If that sounds like a team and company you want to thrive within, we would love to hear from you.
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