Data Scientist

Discovery Limited; Sandton; On-site; ZAR 600,000 - 1,200,000; Full time

Job summary

Discovery Limited in Gauteng/Sandton, South Africa, seeks a Data Scientist to join the Marketing Data Science Hub within Discovery Connect. The role focuses on data extraction, analyses, modelling and BI reporting to support marketing and sales analytics.

The successful candidate will perform analyses, build predictive models, and expand KPI reporting for clients, while guiding stakeholders on data needs and improving data processes.

Qualifications

• 3+ years experience with Python or R.
• 2+ years’ experience with cloud platforms (Google, AWS, Azure).
• 5+ years of work experience as a Data Scientist or Quantitative Analyst.

Responsibilities

• Perform analyses, provide insights, and build predictive models for sales, distribution, and marketing analytics.
• Expand automated KPI reports for lead volumes, call centre metrics, campaign performance.
• Enable performance marketing with data-driven insights and predictive models.
• Client segmentation and ideal client identification.
• Development and implementation of targeted marketing strategies.
• Optimise call centre operations and provide customised data to the business.
• Guide stakeholders on data to extract and disseminate information via reports.

Skills

Python

R

SQL

ML

BI reporting

Cloud platforms

Stakeholder

Data wrangling

Job description

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Data Scientist

Business Unit: DCM Distribution

Function: Data Sciences

Date: 22 Sept 2026

Discovery Connect

Data Scientist: Marketing Data Science Hub

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 to not only achieve financial success, but to ignite positive and meaningful change within our society.

About Discovery Connect

People increasingly want to transact faster, on their terms, in fluid, and dynamic ways. Discovery Connect facilitates this need as a direct sales channel, leveraging the best of technology with the best in people.

We are often a client’s first impression of Discovery so we must have the best Discovery ambassadors in our team. At the forefront of client acquisition methodology, Discovery Connect continues to be one of the fastest-growing divisions in the group. Representing all product lines

(including Discovery Bank) there is an opportunity for forward thinkers, innovators, and people who thrive on complexity in a growing business.

Job Purpose :

Discovery is a high-performance organisation which prides itself in attracting the best talent. Our environment is always buzzing with energy as smart, motivated people challenge themselves to find the best way to do things. In addition to being passionate about working in this fast-paced organisation, the successful applicant will be responsible for data extraction, analyses, modelling and BI reporting within the Marketing Data Science Hub team.

Key Duties and Responsibilities:

• Perform analyses, provide insights, and build predictive models that will assist with sales, distribution, and general marketing analytics.
• Expand the suite of automated analytical/KPI reports used by clients of the Marketing Data Science Hub team (relating to lead volumes, call centre metrics, campaign performance etc.).
• Be an enabler of performance marketing, i.e. perform analyses, provide insights, and build predictive models that will assist with:
• Client segmentation and ideal client identification.
• Development and implementation of targeted marketing strategies.
• Optimisation of call centre operations.
• Source and provide customised data to the business.
• Guide business stakeholders in what data to extract.
• Improve processes and databases where opportunities arise.
• Interpret and disseminate information via reports and publications.

Personal attributes and skills:

• Strong analytical and statistical modelling/machine learning skills.
• Skill in producing BI reports and working with BI software tools (big advantage).
• Above average ability to work with, analyse and report on data.
• Ability to source data from both structured and unstructured sources.
• Good communication skills and ability to build relationships with key stakeholders.
• Ability to work under pressure and in conditions of change.
• A team player who can work alone when required and without supervision.
• Ability to multi-task and to manage workload.
• Organized
• High level of attention to detail.
• Resilience, enthusiasm, energy and drive.
• Ethical and able to maintain confidentiality and manage boundaries.
• Aligned to Discovery values and core purpose

Education and Experience :

• Do you have 3+ years' experience with python or R?
• Do you have 2+ years’ experience with cloud platform (i.e. Google, AWS, Azure)
• Do you have 5+ years of work experience as a Data Scientist or Quantitative Analyst?

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.