Prudential Corporation Asia Ltd is seeking an Analytics Engineer to join their Analytics Centre of Excellence in Singapore. The role involves designing, developing, and deploying machine learning models to support business growth while fostering a culture of diversity and inclusion
Job Summary
Analytics Engineers play a critical role in designing, developing, deploying, and monitoring machine learning models to support business growth.
The role involves undertaking general and advanced analysis of business problems using various analytical and statistical methods.
Prudential aims to create a culture where diversity is celebrated and inclusion is assured, providing a platform for employees to do their best work and succeed.
Matching Summary
Match Score: 85
Prudential Corporation Asia Ltd is seeking an Analytics Engineer to join their Analytics Centre of Excellence in Singapore. The role involves designing, developing, and deploying machine learning models to support business growth while fostering a culture of diversity and inclusion.
Skills & Requirements
Must-have
machine learning frameworks
Python and SQL proficiency
cloud development (Azure)
data transformation and engineering
model performance and fairness evaluation
version control with Git
Nice-to-have
kindness and openness
innovative problem-solving
presenting to non-technical partners
PySpark and Scala exposure
web frameworks and APIs
reporting tools familiarity
Key Requirements
Master’s degree or PhD or equivalent work experience
Extensive experience with scikit-learn, MLFlow, PyCaret, FairLearn, TensorFlow
Proven knowledge of traditional machine learning techniques
Proven expertise in cloud development (Azure)
Proficient in Python and SQL
Familiar with Python visualization libraries
Experience using Git
Knowledge of life insurance practices is advantageous