Data Science Analyst: Predictive Modeling & AI (12 mo)

Medibank

City of Melbourne

On-site

AUD 90,000 - 130,000

Full time

6 days ago
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Job summary

Medibank is seeking a Data Science Analyst to uncover customer insights, build predictive models and deliver data-driven solutions that improve customer and commercial outcomes. Reporting to the Senior AI Initiatives Manager, this 12-month fixed-term role will involve advanced analytics, ML, and experimentation using modern cloud technologies.

You will develop predictive models for retention/acquisition, analyse customer behaviour, design experiments, and deploy ML models with Python on AWS

Qualifications

  • Bachelor's or Master's in Data Science, Computer Science, Statistics, Mathematics, Engineering or related quantitative field.
  • 2–3+ years' experience in data science/advanced analytics or similar roles.
  • Strong hands-on experience building predictive/statistical models using Python.
  • Experience applying data-driven insights to support commercial outcomes.

Responsibilities

  • Develop predictive models to support customer retention, acquisition, cross-sell and engagement initiatives.
  • Analyse customer behaviour, digital interactions and product performance to identify actionable insights.
  • Design and execute experiments to test and optimise outcomes.
  • Build, optimise and deploy machine learning/statistical models using Python and cloud services.

Skills

Python
Machine Learning
Statistical Modeling
Data Visualization

Education

Bachelor's/Master's in a quantitative field

Tools

SageMaker
EC2
S3
Bedrock

Job description

Medibank is seeking a Data Science Analyst to uncover customer insights, build predictive models and deliver data-driven solutions that improve customer and commercial outcomes. Reporting to the Senior AI Initiatives Manager, this 12-month fixed-term role will involve advanced analytics, ML, and experimentation using modern cloud technologies.

You will develop predictive models for retention/acquisition, analyse customer behaviour, design experiments, and deploy ML models with Python on AWS

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