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Data Scientist

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Reporting to the Head of Customer Interaction and Analytics, the Data Scientist is a champion for analytics in the Retail Business Line. As a data scientist, you are responsible for developing sustainable data products using Machine Learning and Advanced Analytics techniques. You perform both online and offline experiments,preparing and combining data and creating (interactive) visualisations in order to understand and predict customer behaviour, ultimately contributing to the Retail Business Line’s objective. 

  • 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.
  • Rapidly implements models, methods, standards and products, in line with the requirements and wishes of the business and operational management.
  • Provides advice based on research and analyses to aid decision-making on commercial, economic, risk management, or product development policy by internal and external stakeholders.
  • Interprets data and delivers excellently substantiated data analyses using advanced analytical techniques and tools, which lead to improved business decisions or better data quality.
  • Works with large amounts of data: facts, figures, and number crunching. You will need to see through the data and analyse it to find conclusions. This bye.g. data-mining activities, in-depth data analysis, validating by combining and interpreting data.
  • You have more than 5 years of experience in the data science domain
  • You have experience in applying machine learning and developing different statistical models in multiple fields in a complex corporate environment.
  • You are able to develop conceptual models for problem areas and apply these effectively.
  • You have successfully delivered on data-science projects in multiple tribes/business domains.
  • You are a strong communicator and present your analyses in a clear manner.
  • You are a fast learned and easily adapt to a new environment.
  • Currently work from home