Overview
The Senior Data Scientist will join a highly skilled data science team and work directly with a talented team of software engineers, auditors, product
managers and customer experience managers to analyse healthcare data anddeliver value for our clients.

Responsibilities
Design and build data science models and product features to
achieve the business goals
Understand and translate business requirements from internal and external
stakeholders into data product and features
Apply state of the art AI/machine learning technics to resolve
analytical problems
Work with engineers to productionize models
Collaborate with team members to build integrated analytic
solutions including data pipelines, modelling and dashboards
Serve as a subject matter expert in data and analytics in
client engagements to help our customers get increased
value from our products
Work with subject matter experts to validate the analytical
insights and findings
Analyse and present actionable insights to internal and




external stakeholders to enable informed decision making
Generate reports and dashboards, to communicate key
insights to internal and external stakeholders
Develop Proof of Concepts and working demos
Delegating tasks to and mentor junior data scientists

Essential skills
Tertiary qualification in data science, mathematics, statistics,
physics or other related fields
5+ years’ experience in a commercial advanced analytics
setting.
Solid skills in building statistical/data science models
Can create of modify existing AI/ML technics to suit the
business needs.
Hands-on experience in pytho
Excellent communication skills

Desired skills:
Experience in healthcare industry highly regarded
GenAI LLM
Familiarity with Amazon Web Services (AWS) applications
(QuickSight, S3, Sagemaker, HealthLake)
Experience with agile software development

📌 Senior Data Scientist Sydney
🏢 Important Business
📍 Sydney