Senior Data Scientist

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 and deliver 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
• Research and identify appropriate AI models to suit business needs
• 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
• Delegate tasks to and mentor junior data scientists

Qualifications:

• Tertiary qualification in data science, mathematics, statistics, physics or other related fields
• 5+ years’ experience in a commercial advanced analytics environment.
• Solid skills in building statistical/data science models
• Can create or modify existing AI/ML technics to suit the business needs.
• Hands-on experience with generative AI, LLMs and other advanced AI techniques
• Hands-on experience in Python
• Excellent communication skills

Desired skills:

• Experience in healthcare industry highly regarded
• Familiarity with Amazon Web Services (AWS) applications (QuickSight, S3, Sagemaker, HealthLake)
• Experience with agile software development

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