Job description
About the Role
As a Data Scientist at Entain, you will be joining one of our fastest growing and exciting teams in the business.
In the Data Science team, you will play a key role in developing end-to-end data science & ML solutions that will be applied across the entire business. This includes customer behaviour, finance, responsible gambling, fraud identification and risk pricing.
Through developing and refining these models, the Data Science team help create best-in-market products, deliver tailored experiences to our customers and improve the efficiency and margin of the digital business. The role includes an element of R&D where new and emerging technologies and tools are applied to further extend the business knowledge and understanding of customers and digital wagering markets.
About Us
We're Entain. Our vision is to be the world leader in sports betting and gaming entertainment. We are creating exciting and trusted experiences for our customers and revolutionising the gaming space as we go.
Combining technology and entertainment to create products that push the boundaries, Entain is home to a global family of more than 25 well-known brands - names such as Ladbrokes Australia, neds, Bookmaker.com.au, betstar, and many more.
Our growth and success have come from driving innovative and market leading betting experiences developed in-house by our exceptional team. With the attitude of a start-up but the support of a significant multi-national company, Entain is an exciting place to work!
Key Responsibilities:
- Develop complex predictive models using advanced statistical and machine learning tools to understand and forecast customer behaviour, business performance, and market condition.
- Develop and maintain a detailed understanding of Entain digital wagering products and solutions in order to identify opportunities to improve pricing and targeting models.
- Analyse model performance, customer behaviour and market conditions to provide key insights to business stakeholders.
- Maintain an understanding of current and emerging trends in quantitative analysis, machine learning and data engineering.
- Identify and drive opportunities to apply new approaches or technologies to help build the business.
- Present findings to key stakeholders to inform business decisions.
Skills and Experience:
- Demonstrated commercial experience in the Data Science field and or similar role.
- Strong Python & SQL. Experience with Scala, R, Go, JS/TS is beneficial.
- Experience in PowerBI & Dash highly desirable. Experience creating interactive visualisations in other platforms (eg. Spotfire, Tableau) is beneficial.
- Knowledge of underlying mathematical foundations of statistics & machine learning.
- Experience in MLOps & cloud is highly desirable.
- Self-driven with the ability to work both independently and as part of a team.
- Experience conveying technical concepts to a non-technical audience.
If you are interested in learning more, please feel free to reach out to [email protected] for a confidential discussion.