Behavioural Data Scientist Graduate

About the Role

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.

Responsibilities

• 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.
• Basic statistics (regression, hypothesis testing)
• Data cleaning and manipulation
• Database knowledge (relational vs dimensional) (advantageous)
• Data visualization (dashboarding, reports) (advantageous)
• 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)
• Structured problem-solving
• Logical thinking
• Attention to detail
• 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

Requirements

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