Behavioural Data Scientist Graduate

Discovery Limited; Sandton; On-site; ZAR 300,000 - 420,000; Full time

Job summary

Discovery Health is seeking a motivated Digital and DHCS Data Scientist Graduate to help apply data science to health analytics across the Health App, HealthID, and Discovery Health Care Services. You will work with large datasets and cross-functional teams to uncover patterns in member behaviour and inform strategy.

The role requires a Bachelor’s degree in data science or a related field and familiarity with Python, R, or SQL. Knowledge of BI tools such as Power BI or Tableau is advantageous.

Qualifications

• Bachelor’s degree in data science or related field
• Basic experience in Python, R or SQL

Responsibilities

• Apply real data science to real-world impact within the Digital team, across the Health App, HealthID, and Discovery Health Care Services to leverage large-scale behavioural and transactional data.
• Engage in journey analytics, segmentation, experimentation, and predictive modelling to inform strategy and data-driven decisions.

Skills

Basic statistics

Data cleaning and manipulation

Database knowledge

Data visualization

Understanding of machine learning bas

Model evaluation concepts

Data preparation and data engineering

Supervised learning

Unsupervised learning

Natural language processing

Generative AI

LLMs

Structured problem-solving

Logical thinking

Attention to detail

Translate business questions into分析

Present insights clearly

Basic stakeholder engagement skills

Business communication

Education

Bachelor’s degree in data science or related field

Honors/Masters

Tools

Power BI/Tableau

Job description

Discovery Health - Digital and DHCS

Behavioural Data Scientist Graduate (Johannesburg OR Cape Town)

About Discovery

Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast-paced and dynamic environment enables smart, self-driven people to be their best. As global thought leaders, Discovery is passionate about innovating in order to not only achieve financial success, but to ignite positive and meaningful change within our society.

Key Purpose

The successful applicant will be responsible for but not limited to the following job functions:

• We’re looking for analytically curious graduates eager to apply real data science to real-world impact within the Digital team, working across the Health App, HealthID, and Discovery Health Care Services businesses to leverage large-scale behavioural and transactional data and uncover meaningful patterns in member behaviour. From journey analytics and segmentation to experimentation and predictive modelling, we use advanced analytics to inform strategy, data-driven decision-making and insights into customer, product and department behaviour.
• You’ll work with rich data sets, modern tools, and cross-functional teams to solve complex problems — translating data into measurable outcomes. If you’re excited by messy data, human behaviour, and building models that influence decisions at scale, this is where you start.

Competencies

Techniques

• Basic statistics (regression, hypothesis testing)
• Data cleaning and manipulation
• Database knowledge (relational vs dimensional) (advantageous)
• Data visualization (dashboarding, reports) (advantageous)

Data Science Fundamentals

• Understanding of machine learning basics
• Model evaluation concepts
• Data preparation and data engineering fundamentals
• Supervised learning, unsupervised learning, natural language processing
• Generative AI, Large Language Models (LLM’s) (advantageous)

Analytical Skills

• Structured problem-solving
• Logical thinking
• Attention to detail

Business & Communication

• Translate business questions into analysis
• Present insights clearly
• Basic stakeholder engagement skills
• Behavioural Attributes
• Curiosity and willingness to learn
• Team player
• Accountability and ownership
• Self-starter
• Autonomous
• Ambitious
• Adaptability
• Quick learner

Education And Experience

• Bachelor’s degree in data science, Actuarial Science, Engineering: Industrial/Aeronautical/Mechanical, Statistics, Computer Science or Related Data Analytics Degree)
• Basic experience in Python, R or SQL

Advantageous/Preferred Experience And Knowledge

• Honors/Masters
• Bacis experience or understanding in
• Power BI/Tableau

EMPLOYMENT EQUITY

The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.