Data Scientist - Online Payment Service

  • Location

    London, England

  • Sector:


  • Job type:


  • Salary:

    £50000 - £80000 per annum + benefits

  • Contact:

    Niall Wharton

  • Contact email:

  • Job ref:


  • Published:

    8 months ago

  • Expiry date:


  • Startdate:


  • Consultant:


Data Scientist - Online Payment Service

The Company:

* Online Payment Service Company
* A top 3 company globally in their field.
* Predictive Modelling and Machine learning applied to customer data are the key skills.
* Excellent Data Science team (approaching 10 members in total).

The Role:

* Use all available data, undertaking data discovery and exploration to identify opportunities, develop strategies and techniques to improve results for Worldpay and our customers
* Leverage state-of-the-art big data tools and techniques to drive improved decisions
* Develop and/or implement various types of models and processes such as machine learning to make optimised decisions in real-time, integrating these into business processes with a targeted result of increasing revenue
* Look beyond the numbers and identify key insights that would inform decision-making relating to product improvements, new product development and potential to drive new income streams through better use of available data
* Build models of customer, industry and transaction behaviour
* Develop tools for complex statistical analysis of customer data, using R, MATLAB, Python or a similar statistical package
Develop models to monitor usage of products and services searching for irregular activity

* Academically strong, with an advanced degree/PhD/ MSc in a strong quantitative discipline such Maths, Statistics, Computer Science, Physics or Chemistry
* Experience with Predictive Analytics and Advanced Analytics
* Strong programming ability with either Python, R, Scala, Java or Matlab in a data science context (either creating propensity models, segmentations or solving complex problems using optimizations techniques)
* Very good SQL / HiveQL skills
* Good ability to interpret complex business requirements, translate into analytical problems and deliver high value outputs
* Practical experience designing and conducting A-B Testing procedures

If you are interested in this or other Data Scientist opportunities please contact Niall Wharton on or +44(0)203 301 9908. Unfortunately this position is only available to candidates eligible to work in the EU without sponsorship.

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