Senior Data Scientist | Health

Quantium; Johannesburg; Hybrid; ZAR 700 000 - 900 000; Full time

Job summary

A global data science leader in Johannesburg is looking for a Senior Data Scientist in the healthcare sector. This role involves delivering high-quality analytics, managing stakeholder relationships, and providing strategic contributions to analytical solutions. Candidates should have over 5 years of experience in data analytics, strong coding skills in SQL and Python, and a background in engineering or related fields. The position offers opportunities for career growth and a flexible hybrid work model.

Benefits

Continuous learning opportunities

Flexible work arrangements

Career growth pathways

Diversity and inclusion commitment

Qualifications

• 5+ years’ experience in a technical analytics environment.
• Strong understanding of data preparation and analytics concepts.
• Experience building trusted relationships with stakeholders.

Responsibilities

• Independently own and deliver high-quality analytics for healthcare initiatives.
• Deliver comprehensive analytics processes, from scoping to insights generation.
• Develop meaningful solutions based on clients’ objectives.

Skills

Data analysis

SQL

Python

Feature engineering

Stakeholder management

Agile methodologies

Education

Qualifications in engineering, mathematics, actuarial science, statistics, or physics

Job description

Senior Data Scientist | Health

Quantium Johannesburg, Gauteng, South Africa

Job Type: Permanent - Full Time

Location: Johannesburg

Job Category: Data Science, Health

Quantium is a world leader in data science and artificial intelligence. Founded in Australia, Quantium is a global team of more than 1,400 people across 14 locations, delivering product and consulting services that help businesses unlock value from data and analytics. Quantium Health is a joint venture between Discovery Health and Quantium, specialising in healthcare-focused data science across health insurance, hospitals, pharmaceuticals, Med Tech and retail pharmacies. Our distinctive approach combines clinical understanding with advanced analytics, and we are proud to be Anthropic’s global enterprise partner for generative‑AI implementation in healthcare. Our work transforms the way healthcare organisations operate, from real‑world studies on hypertension outcomes to government partnerships on COVID‑19 vaccine rollouts, and the Vitality AI platform delivers hyper‑personalised, real‑time recommendations powered by machine learning.

Responsibilities

• Analytics leadership & delivery: Independently own and deliver high‑quality analytics for multiple initiatives within the healthcare vertical, including management of analytics quality.
• Technical execution: Deliver comprehensive analytics processes, from scoping and data quality assessment to method selection, design, application, insights generation and visualisation.
• Client‑centric: Develop meaningful solutions based on a deep understanding of clients’ objectives through day‑to‑day external stakeholder management.
• Foster high performance: Share knowledge, coach and develop team members, including reviewing technical output from junior colleagues.
• Strategic contribution: Support business development activities and thought leadership, transforming client questions into analytical solutions.

Qualifications

• Technical proficiency: 5+ years’ experience in a technical analytics environment, carrying out data analytics or data science work.
• Advanced analytics knowledge: Strong understanding of data preparation, feature engineering, foundational analytics concepts, model development and model training.
• Strong coding skills: Coding and modelling experience in SQL / Python.
• Academic background: Qualifications in engineering, mathematics, actuarial science, statistics, physics or a related discipline.
• Consultative approach: Experience building trusted relationships with stakeholders and gaining in‑depth understanding of their objectives to develop relevant solutions that solve complex problems.
• Agile performer: Capability to move fast with care through a dynamic environment, delivering exceptional quality without compromise.
• Healthcare interest (desirable): Experience with health datasets such as medical schemes data and / or healthcare experience in pharma, Med Tech or hospitals.

Benefits

• Continuous learning: Empowerment to thrive through technical excellence, thought leadership and collaboration within the Analytics Community.
• Flexible work arrangements: Hybrid model (3 days onsite, 2 days remote) to support work‑life balance.
• Opportunities for career growth: Pathway across teams or offices, and diverse, multi‑disciplinary collaboration.
• Diversity & inclusion: Commitment to a supportive environment for all.

About Quantium

Quantium’s data science and AI expertise enable organisations across sectors to solve complex challenges. We value problem‑solving, curious thinking and a collaborative culture where every team member can make a meaningful impact.