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Offers “Aviva”

Expires soon Aviva

Data Scientist

  • Internship

Job description


  • Quantum is Aviva’s global data science hub made up of 700+ data scientists
  • from around the world and is a key value-adding function of Aviva Singapore
  • Quantum’s Data Science capabilities will help drive business insight and business value using both customer and risk analytics to give Aviva a strategic advantage over our competitors.
  • The Quantum Asia team are keen to expand the Data Science capability in order to deepen our understanding of customers and the risks arising from insurance products.

Job Role

  • This role will be to be focusing on using customer and risk analytics for Aviva Ltd in order to deliver growth whilst having a better understanding of customers, quantify and manage risks and deliver excellent experiences.
  • Lead development and implementation of statistical and predictive models and other analytic tools
  • Lead data enrichment strategy by discovering new sources of data and partnering with third parties to derive new insights
  • Assist with campaign design and execution by leveraging analytics to maximize performance and optimize future campaigns
  • P rovide good, accurate and high-quality analysis and predictive models that are according to the assigned Business Requirements


  • Statistical/ Predictive Modelling (Machine Learning and Deep Learning)
  • Data Extraction, Manipulation and management in RDBMS, Non-RDMBs and AWS Cloud systems.
  • Identify source of data and work with Data Engineers to create datasets for analytics projects
  • Identify trends, draw insights from data, and present to internal stakeholders
  • Identify globally implemented reuse cases for local implementation
  • Articulate benefits and value created from each of Quantum’s Data Science initiatives to Senior stakeholders


  • Bachelor degree or above in Statistics, Computer Science, Mathematics, Business Analytics, Economics, or Similar
  • Masters in Statistics or any quantitative disc (preferred) or equivalent professional qualification
  • Advanced statistical analysis and understanding of risk analytics tools is a must
  • Ability to apply Machine Learning and Deep Learning methods e.g. apply NLP on OCR outputs
  • Ability to visualize data, identify trends, and provide sound insights/ recommendation to internal stakeholders

  • Broad understanding of insurance and the key risks associated

  • Solid years of experience in the role of a data scientist (preferably in Financial Services industry)

  • We regret to inform that only shortlisted candidates will be notified