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Data Scientist

We're one of the fastest growing online gaming operators. Operating in 20 different languages and more than 100 countries, we offer a leading Sportsbook, Casino & Games, Poker and Bingo product via desktop, tablet and mobile to over 15.8 million customers worldwide. We employ over 1300 people in 6 offices: London, Stockholm, Malta, Sydney, Gibraltar and Paris.

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 will you be doing?

With this role you get the 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 customers. Some of the projects we work on are: Personalisation and recommendations, customer behavior models, contextualization, KYC and AML, payment/transaction fraud detection.

 

What have you done?

  • We are looking for someone with 1-2 years commercial experience
  • You must have a passion for learning and applying solutions in a real-world business environment
  • Knowledge of Machine Learning algorithms and general statistical methodologies and theory will be required
  • Experience using Python/R would be advantageous, as well as having some experience in Scala, Java, or C++
  • A PhD or Masters in a numerate discipline

 
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Location
London
Kindred House, 17-25 Hartfield Road, Wimbledon, London, United Kingdom, SW19 3SE
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  • Office:
    London
  • Type of Employment:
    Full Time Permanent
  • Reference Number:
    TEC1133
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25 Days Holiday
Private Medical
Wellbeing Allowance
Maternity/Paternity leave
Eye test
3 days CSR leave
Shares
Pension
Anniversary awards
Travel loan
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