Discovery: Behavioural Data Scientist Internship

Discovery

Location
Sandton, Gauteng
Minimum qualification
Bachelor's degree
Closing date
Not stated — check the original listing

First listed . Last checked at source .

In brief

**Overview** This internship is for analytically curious graduates within Discovery's Digital team, focusing on applying data science to real-world impact. The role spans across the Health App, HealthID, and Discovery Health Care Services businesses. Interns will leverage large-scale behavioural and transactional data to uncover meaningful patterns in member behaviour. The work involves using advanced analytics such as journey analytics, segmentation, experimentation, and predictive modelling to inform strategy, data-driven decision-making, and insights into customer, product, and department behaviour. Interns will collaborate with cross-functional teams, utilize rich datasets and modern tools to solve complex problems, and translate data into measurable outcomes. **What you will do** * Leverage large-scale behavioural and transactional data to uncover meaningful patterns in member behaviour. * Apply advanced analytics, including journey analytics, segmentation, experimentation, and predictive modelling. * Inform strategy, data-driven decision-making, and provide insights into customer, product, and department behaviour. * Work with rich data sets, modern tools, and cross-functional teams to solve complex problems. * Translate data into measurable outcomes. **Requirements (from the original advert)** * Bachelor’s degree in one of the following: * Data Science * Actuarial Science * Engineering (Industrial / Aeronautical / Mechanical) * Statistics * Computer Science * Related Data Analytics Degree * Basic experience in Python, R, or SQL. * Techniques: * Basic statistics (regression, hypothesis testing) * Data cleaning and manipulation * Data Science Fundamentals: * Understanding of machine learning basics * Model evaluation concepts * Data preparation and data engineering fundamentals * Supervised learning, unsupervised learning, natural language processing * Analytical Skills: * Structured problem-solving * Logical thinking * Attention to detail **Who should apply** * Analytically curious graduates eager to apply real data science to real-world impact. * Individuals excited by messy data, human behaviour, and building models that influence decisions at scale. **Deadline** Not specified **Reference** Original posting: https://www.graduates24.com/discovery-behavioural-data-scientist-internship Source: graduate24

Summary drafted with AI assistance from the original advert. The advert itself is the authority — how we use AI.

At a glance

    • Python
    • SQL
    • Power BI
    • Tableau

    Extracted automatically from the advert; confirm requirements on the original listing.

    Job description

    Discovery Behavioural Data Scientist Internship 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. Requirements * Bachelor’s degree in: 1. Data Science, 2. Actuarial Science, 3. Engineering: Industrial / Aeronautical / Mechanical, 4. Statistics, 5. Computer Science 6. or Related Data Analytics Degree * Basic experience in Python, R or SQL Advantageous * Honors/Masters * Bacis experience or understanding in * Power BI/Tableau Skills and 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

    Before you apply

    • Confirm the requirements and closing date on the original listing (graduate24). SPANi lists vacancies from other sites and may not reflect last-minute changes.
    • Legitimate employers do not charge application, registration or training fees.
    • Don't send your ID or bank details before you have confirmed the employer is real.

    How to spot a job scam

    Applying for internships in South Africa

    • Lead with your qualification, year of study, and any projects that show you can learn quickly.
    • Mention availability dates and whether you can work in-office, hybrid, or remotely.
    • Attach a one-page CV and a short motivation that names the employer and role specifically.
    • If the listing is on a company careers page, apply there rather than through forwarded WhatsApp links.

    Similar roles

    Get new data & analytics jobs in gauteng by email

    Free. No account needed. Unsubscribe with one click.

    We only use your email to send this alert. See our privacy policy.

    Discovery: Behavioural Data Scientist Internship at Discovery | SPANi - South African Jobs