Job description

Responsibilities

  • Work with business analysts and internal stakeholders to identify business problems and opportunities, propose analytics solutions, as well as data and technology requirements, and formalise them into a project.
  • Analytics solutions include, but are not limited to report automation, descriptive analytics, and advanced analytics.
  • Work with data engineers to plan, identify, and integrate data from multiple source systems to enterprise data platforms for analytics purposes.
  • Perform data exploration, preprocess, and analyse the data (both structured and unstructured); develop and deploy machine learning/deep learning models.
  • Create dashboards to communicate and present key findings to stakeholders and manage UAT.
  • Work with the team to run and prioritise projects according to objectives and business impact.

Requirement

  • Bachelor's degree or equivalent experience in the quantitative field (e.g. Statistics, Mathematics, Computer Science, Engineering, etc).
  • At least 1 year of relevant work experience.
  • Good understanding of machine learning (eg. Logistic Regressions, SVM, Decision Tree, Random Forest, lightGBM, XGBoost) and deep learning algorithms (eg.CNN, RNN).
  • Deep understanding of deep learning algorithms, and experience with open-source libraries such as TensorFlow, Keras, Pytorch, Scikit-Learn etc.
  • Fluency in a programming language (e.g. Python, R, SQL, etc).
  • Familiarity with Big Data frameworks and visualisation tools (e.g. Power BI, Hadoop, Spark, Tableau, etc).
  • Good collaboration and communication skills to work effectively across teams and partner with business stakeholders.

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