We also build highly custom solutions combining simulation and ML where necessary. We build many of our models in Databricks using Spark, with data sourced from our growing Data Lake (parquet and delta format) and from our massive AWS Redshift warehouse. Our data experts gather rich insights from our wide customer base and use those to inspire industry-leading features within our apps. We’re a data-driven business that lives to explore the possibilities of technology, so we’re creative, take risks and use what we know about our customers to develop the experiences that engage and delight them. We’re investing heavily in people, process and tech to lift our game further in ML, with a state-of-the-art platform to empower our data scientists as we head toward true MLOps. We also build highly customer-focused solutions combining simulation and Machine Learning (ML) where necessary.īut we don’t want to stop there.

In our DS team we love nothing better than working through interesting problems and utilising our team's awesome data science knowledge coupled with our market leading tech stack We build many of our models in Databricks using Spark, with data sourced from Data Lake (parquet and delta format) and from our massive AWS Redshift warehouse. Basically, we love trying to find ways to link our data science know-how to great experiences for Sportsbet customers.

Our DS team have a real passion for the maths of sports, Safer Gambling, risk, marketing, and personalised customer journeys. With over 2 million active customers and 100+ price changes per second, there are lots of awesome challenges you’ll be faced with in our Data Science (DS) space. Here at Sportsbet we love data and we certainly have the machine learning chops.

Ml in sports betting