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Data Scientist

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Job Description and Qualification:

he Data Science Manager is a champion for analytics in the Retail Business Line. You will ensure that business value is realised by managing for successful delivery of Retail data products, using Machine Learning and Advanced Analytics tools and techniques,including the adoption by end-users. 

Key Responsibilities

  • Mastery of Customer Journey experience and have profound knowledge in at least one field of expertise for which you are regarded as go-to person within the tribe, such as Lending,Transaction Services, or Savings
  • Proactively advises projects and other business stakeholders on the opportunities of Data Science.
  • Recommends and implements tools/products to enable data science capabilities in the organization
  • Takes the lead in the implementation of models, methods and standards in complex projects and environments
  • Advises on the requirement data, information, systems and models within and beyond the CI tribe, while keeping aligned with the strategic priorities of the bank
  • Develops, monitors, maintains and continuously improves methods, systems, models, prototypes, dashboards, and standards to conduct (performance) research, decision making, (scenario) analyses, validations (valuations), or marketing campaigns within the boundaries defined by internal and external
  • regulatory standards and compliance.
  • Initiates proposals for experiments, research & projects and schedules activities in consultation with stakeholders, taking into account the needs of the organisation, data privacy legislations and ethical boundaries.
Professional knowledge
  • University degree – preferably in Mathematics, Statistics, Computer/IT or the like
  • Minimum 7 years of professional experience in a similar domain (Customer Intelligence, Data Science, CRM);
  • Previous proven experience with advance analytics tools preferably open source;
  • Experience with data science in the financial services industry is preferred but not required
  • Strong statistical analysis capabilities who has experience in state-of-the-art methods and techniques for data analytics and science.
  • Significant professional experience in managing Advanced Analytics projects
  • Experience in applying machine learning and developing different statistical models in multiple fields in a complex corporate environment
  • Currently work from home set-up