
Data Science Analyst
Medibank
full-time
Posted on:
Location Type: Office
Location: Docklands • Australia
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About the role
- Build predictive models and experiments that unlock insights across customer behaviour, digital channels, and product performance
- Use machine learning, statistical modelling, and cloud‑based experimentation (AWS) to drive improvements in retention, acquisition, cross‑sell and customer lifetime value
- Translate business challenges into analytical solutions that support Marketing, Product, Portfolio, and Channel strategies
- Optimise and scale models through efficient coding, vectorisation, and parallel processing
- Partner with stakeholders across Medibank to embed data science solutions that deliver real impact
- Evaluate new data sources and tools to enhance customer understanding and innovation
Requirements
- Degree in Data Science, Computer Science, Engineering, or related quantitative discipline (post‑graduate desirable)
- 3+ years’ experience in data science, advanced analytics, or machine learning
- Strong Python coding skills (SAS a bonus)
- Experience with predictive modelling, statistical analysis, and end‑to‑end analytics
- Ability to extract, cleanse and analyse complex datasets with accuracy and integrity
- Strong communication skills-you can turn complex data into simple, compelling insights
- Exposure to AWS (SageMaker, EC2, S3, Bedrock) and Generative AI/LLMs is advantageous
Benefits
- Health and wellbeing programs
- Inclusion and accessibility initiatives
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningstatistical modellingpredictive modellingPythondata analysisdata cleansingvectorisationparallel processingadvanced analyticsGenerative AI
Soft Skills
communicationstakeholder engagementanalytical thinkingproblem-solvingcollaborationinsight generationcustomer understandinginnovation
Certifications
Degree in Data ScienceDegree in Computer ScienceDegree in Engineering