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Senior Data Scientist

 

Reporting to: Lonnie Hamm (Head of Data Science)

 

About the Role

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 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. 

What have you done?

  • Circa 3+ years commercial experience
  • Knowledge of Machine Learning algorithms and general statistical methodologies and theory
  • Strong skills in Python and/or R and ideally some experience in Scala, Java, or C++
  • PhD or Masters in a numerate discipline
  • Ideally, experience working in a big data environment

Application Process

To apply for this role click on the "Apply Now" button and complete the short web form, please add a covering letter explaining your motivations for applying and your salary expectations. Our Talent Acquisition team will be in touch shortly.

 


 
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Location
London
Kindred House, 17-25 Hartfield Road, Wimbledon, London, United Kingdom, SW19 3SE
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  • Reference Number:
    STR0081
  • Office:
    London
  • Type of Employment:
    Full time permanent
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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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