Data Scientist - Aviva - SINGAPORE

Job description

Summary

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
Provide good, accurate and high-quality analysis and predictive models that are according to the assigned Business Requirements

Tasks

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

Requirements

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