Analytics Engineer

Prudential

Singapore, Singapore
Machine learning frameworks (scikit-learn, mlflow)
Cloud development (azure)
Python and sql proficiency
Analytics Engineers play a critical role in designing, developing, deploying, and monitoring machine learning models to support business growth

Job Summary

  • Analytics Engineers play a critical role in designing, developing, deploying, and monitoring machine learning models to support business growth.
  • The role involves collecting business requirements, developing advanced analytics solutions, and critically evaluating model performance and fairness.
  • Prudential fosters a culture where diversity is celebrated and inclusion is assured, providing a platform for employees to connect, grow, and succeed.

Matching Summary

Analytics Engineers play a critical role in designing, developing, deploying, and monitoring machine learning models to support business growth.

Skills & Requirements

Must-have

  • Machine learning frameworks (scikit-learn, MLFlow)
  • Cloud development (Azure)
  • Python and SQL proficiency
  • Data transformation and optimization
  • Version control (Git, GitHub, Bitbucket)

Nice-to-have

  • Kindness and openness
  • Innovative problem-solving
  • Presenting to non-technical stakeholders
  • Life insurance practices knowledge

Key Requirements

  • Master's degree or PhD or equivalent work experience
  • Experience with traditional ML techniques
  • Experience with cloud platforms (Azure)
  • Experience with Python-based visualization libraries
  • Experience with web frameworks and APIs (Flask, Django, FastAPI) is a plus
  • Familiarity with reporting tools (Power BI, Qlik, Tableau) is a plus

Work Rights

Not specified

Tailored Resume

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