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 welcome you to join a vibrant team of data engineers excited to use state of the art Google Cloud technology and the most advanced Machine Learning techniques to make a real impact to the business.
We are a global team central to Entian, building intelligent automated decisioning tools, across all our geographies and brands, to acquire, retain and engage our customers.We are looking for a Data Science Engineer that will help us make the most of the models built by our data scientists by looking after their release to production, timely scoring, and monitoring.
Our models are used in CRM, in presenting personalised communications, offers and digital content to our customers, at the right time, and via the right channel. Your contribution will make a great difference to the business and help us settle in our new Google Cloud AI platform environment.
Your day to day Responsibilities:
You will support the data scientists in the team with the main following activities:
- Responsible for developing the model execution, monitoring and reporting processes for the data science team
- Contribute to all tasks related to preparing data for the data scientists in the team
- Become knowledgeable of Entain data flows and data particularities and advise data scientists on using the right data for the right task
- Perform QA tests and optimise data preparation scripts for Machine Learning jobs in Teradata and in the Google Cloud
- Own the deployment of the models produced by the team of data scientists and ensure a timely release of models to the production environment
- Contribute to building an in-house bespoke Model manager application
- Work with the Data Warehouse team and the Central Data team to help integrate new data sources into our modelling environment
- Closely collaborate with our CRM tool team (Optimove) to facilitate the smooth integration of our models into the CRM cycles
- Help enhance and integrate the Customer Aggregated Record data into our models
- Be the go-to person for all data manipulation activities in the Google Cloud platform
The Must Have's (Essential)
- Advanced use and application of data modelling concepts
- Proficient in the use of SQL and Python
- Experience working in a cloud environment, like Google cloud (GCP) or Amazon cloud
- Experience in working with Airflow and docker technology
- Good understanding of the end to end Machine Learning (ML) environment
- Experience working in a data engineering role for a data science team / environment
- Experience in building and managing aggregated data for predictive modelling (e.g. modeling data marts, Customer Analytical Record, etc.)
- Experience in reporting tools like Tableau or similar
- Very good understanding of how to monitor and validate models
- Good communication and stakeholder management skills, including presentation skills, to communicate clearly, regularly, effectively and meaningfully at the senior level of the organization
- Evidence of successful design and implementation of a model monitoring application in a ML environment
- Technical understanding of quantitative analysis, system design, build and development
- Business analyst skills to translate business needs into technical requirements
- Experience using Git and GitHub
- Experience with continuous integration and continuous deployment pipeline implementations
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