Reporting to: Lonnie Hamm (Head of Data Science)
As an online high transaction business, Kindred Group collects a huge amount of data. This includes data about our customer's betting and game play activity, their interests and motivations and much more.
We use this data to build solutions that deliver our customers the best possible gaming experience. We have invested heavily in a Big Data platform and associated analytical tools that enables our data scientist to provide innovative solutions using the latest techniques and technologies
What you will do
Here is your chance to be part of a growing data science team within larger analytics and data teams numbering over 70 people.
Despite being part of a large analytics organization, you will have the chance to take ownership of projects and drive them from conception.
You will be using statistical methodologies and machine learning algorithms to derive processes that will optimize the way our business is run and serves our customer. Some of the project we work on are: Personalisation and recommendations, customer behavior/propensity models and novel customer segmentations, payment/transaction fraud detection, cybersecurity, KYC and AML.
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