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Data Scientist

Duties and responsibilities

  • Introducing the Data Science function within the Group

  • Initiating and driving data science projects from inception to testing, delivery and optimisation

  • Working closely with the Data Product team and stakeholders to translate requirements into data-driven solutions

  • Developing strategies, algorithms and technology for predictive analysis to enhance our data platforms

  • Establishing the models to build and enrich customer personalisation, cross-selling recommendations and churn prevention

  • Being able to identify emerging trends and process improvement opportunities

  • Carrying out complex ad-hoc data analysis to support and validate business initiatives

  • Collaborating with Data Engineering to make data available and enrich data models

  • Assisting the Business Intelligence chapter with dashboard and application design and inclusion of insights

  • Helping drive the Group's digital transformation by translating data into insights

Required knowledge, skills and experience

  • Bachelor's degree in a Science, Technology, Engineering or Mathematics discipline - a Master's degree would be preferred

  • 3-5 years' experience in data analysis and statistical modelling or AI

  • Proven track record of development with modern languages such as Python (preferred), R or Scala

  • Demonstrated hands-on experience solving analytical problems using scientific analysis using classification, regression, clustering, text mining etc.

  • Exposure to and understanding of Neural Networks, Random Forests, Logistic Regression, SVM, KNN, K-Means, LDA, etc.

  • Experience with Big Data architecture including distributed analytics and streaming.

  • Working knowledge of cloud-based big data platforms (EC2, Lambda, Kinesis, S3, EMR)

  • Familiarity with automated data science platforms such as DataRobot, RapidMiner, Knime or equivalent

  • Prior experience in banking and the financial industry will be considered and advantage

  • Able to communicate clearly, and fluent in both written and spoken English

  • Experience with data visualisation tools - preferably Qlik or MicroStrategy

  • An understanding of Data Warehousing concepts will be considered an asset

  • Experience with data visualisation tools - preferably Qlik or MicroStrategy

  • Knowledge of French and/or Dutch will be considered an asset