Innovative Health Care Solutions Architect

Bebeedata; Pretoria; On-site; ZAR 800 000 - 1 200 000; Full time

Job summary

A healthcare innovation hub in Pretoria is seeking a Senior Data Scientist to lead the development of advanced analytics and machine learning solutions. The ideal candidate will have over 6 years of experience in data science, with strong proficiency in Python, R, and SQL. Responsibilities include developing predictive models, optimizing data pipelines, and mentoring other data professionals. This role is essential for driving AI innovation and enhancing healthcare access for all South Africans.

Qualifications

• 6–8+ years of experience in data science, with at least 2–3 years in a senior or lead role.
• Proven experience in developing and deploying machine learning models in production environments.
• Excellent communication and stakeholder engagement skills.

Responsibilities

• Developing and maintaining predictive models.
• Communicating with stakeholders.
• Optimising data pipelines.
• Driving AI innovation.
• Translating insights into action.
• Mentoring data professionals.
• Ensuring ethical AI and compliance.

Skills

Python

R

SQL

Machine Learning libraries

Data Engineering principles

Cloud data architectures

MLOps tools

Stakeholder engagement

Education

Degree in Data Science, Computer Science, Statistics, Mathematics or related field

Job description

We are a high-performance innovation hub; a place where bold ideas meet data, design, and customer focus to reimagine what healthcare can be.

Our mission is to power the future of healthcare by lowering costs, unlocking new possibilities, and improving access to healthcare for all South Africans.

We do this through cutting-edge digital solutions that deliver smarter, more human, and truly patient-focused experiences.

The Senior Data Scientist will lead the development and deployment of advanced analytics and machine learning solutions that drive strategic decision-making and operational efficiency.

This role requires a deep understanding of data science, data engineering, and AI concepts.

WHAT WE'RE LOOKING FOR?

• A degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 6–8+ years of experience in data science, with at least 2–3 years in a senior or lead role.
• Proven experience in developing and deploying machine learning models in production environments.
• Strong proficiency in Python, R, SQL, and ML libraries.
• A solid understanding of data engineering principles and cloud data architectures.
• Experience with MLOps tools.
• Excellent communication and stakeholder engagement skills.

WHAT YOU WILL BE DOING?

• Developing and maintaining predictive models.
• Communicating with stakeholders.
• Optimising data pipelines.
• Driving AI innovation.
• Translating insights into action.
• Mentoring data professionals.
• Ensuring ethical AI and compliance.

WHO YOU ARE?

You're an experienced ML / AI practitioner who builds and deploys models end-to-end, works confidently with data pipelines and cloud platforms, codes fluently in Python / R / SQL using modern tooling, mentors others on best practices, and communicates insights clearly through strong visual storytelling.