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Lead Data Scientist | Health

Remote / Online - Candidates ideally in
Johannesburg, 2000, South Africa
Listing for: Quantium
Remote/Work from Home position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Analyst, Data Scientist, Data Science Manager
Job Description & How to Apply Below

Who is Quantium?

Quantium is a world leader in data science and artificial intelligence.

Established in Australia in 2002, Quantium is a global team of more than 1,200 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics.

Quantium partners with the world's largest corporations to forge a better, more intelligent world.

About Quantium Health

Quantium Health is a joint venture between Discovery Health and Quantium. We specialise in healthcare-focused data science, working across health insurance, hospitals, pharmaceuticals, Med Tech and retail pharmacies. Our distinctive approach combines clinical understanding with advanced analytics, and we’re proud to be Anthropic's global enterprise partner for generative AI implementation in healthcare.

Our work transforms the way healthcare organisations operate. We have conducted retrospective real-world studies to compare long-term health outcomes in hypertension, partnered with governments worldwide to optimise their COVID-19 vaccine rollouts, and developed the Vitality AI platform which enables hyperpersonalised, real-time recommendations powered by machine learning.

How will you make an impact?
  • Analytics leadership:
    Lead analytical delivery for healthcare clients, ensuring consistent high-quality solutions that address complex data challenges and drive tangible business outcomes
  • Team development:
    Manage and mentor a technical team of analysts, developing their technical capabilities and fostering professional growth through coaching and knowledge sharing
  • Stakeholder engagement:
    Maintain strong relationships across all levels of client organisations, from subject matter experts to C-suite executives, ensuring alignment between technical solutions and business objectives
  • Strategic communication:
    Translate technical concepts and analytical insights into accessible recommendations for non-technical audiences through compelling presentations and communications
  • Technical excellence:
    Leverage advanced SQL, cloud platforms and data visualisation tools to deliver complex data processing and dashboard creation for healthcare sector requirements
  • AI innovation:
    Apply understanding of generative AI applications to enhance analytical productivity and deliverable quality, staying current with emerging technologies
  • Culture building:
    Contribute to maintaining Quantium's culture and collaborative environment within the Johannesburg office through visible leadership and team engagement
The Superpowers You'll Be Bringing To The Team
  • Technical proficiency: 7+ years' experience in advanced analytics / data science, with 1-2+ years in a leadership or mentoring capacity
  • Advanced technical skills:
    Strong Python / SQL proficiency for complex data querying and manipulation across large datasets
  • Cloud expertise:
    Experience with large-scale data processing and familiarity with cloud platforms (GCP, Azure, Databricks)
  • Academic background:
    Degree in a relevant field such as mathematics, statistics, computer science, economics or related discipline
  • Communication excellence:
    Strong presentation and communication abilities, with experience translating technical concepts for non-technical audiences
  • Consultative approach:
    Experience building trusted relationships with stakeholders and gaining in-depth understanding of their objectives to develop relevant solutions that solve complex problems
  • AI understanding:
    Understanding of generative AI applications in analytics and consulting contexts
  • Healthcare interest:
    Healthcare sector experience or strong familiarity with healthcare data challenges and regulatory requirements is highly desirable

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