Data Scientist

Recruiter:

Network Recruitment

Job Ref:

NFP016368/ZG

Date posted:

Thursday, November 20, 2025

Location:

Johannesburg, South Africa

Salary:

Annually

SUMMARY:
Are you a curious, analytical thinker who loves solving real business problems with data? Our client, a leading organisation in the retail lifestyle industry, is looking for a dynamic Data Scientist to join a collaborative, impact-driven analytics team. If you enjoy building practical solutions, experimenting with advanced modelling, and partnering closely with business stakeholders, this is an exciting opportunity to make a meaningful contribution.

POSITION INFO:
In this role, you will develop and deploy machine learning and statistical models, design AI-driven solutions, and tackle complex analytical challenges. You will work across the entire data lifecycle - from data discovery to insight delivery - while leveraging modern platforms like AWS and SAS Viya to build scalable, high-impact solutions. This position is perfect for someone who combines deep technical expertise with strong business understanding.

Key Responsibilities:

Manage full data workflows: data extraction, cleaning, preparation, and analysis
Create meaningful dashboards and visualisations to communicate insights
Build and deploy statistical and machine learning models using SAS, Python, and SQL
Develop new AI-driven solutions for complex business problems
Translate ambiguous or unstructured business challenges into clear analytical approaches
Work within AWS and SAS Viya environments for development and deployment
Collaborate closely with business teams to understand needs before building solutions
Present findings and recommendations in a clear, concise manner to stakeholders

Job Experience and Skills Required:

Education:

Degree in quantitative field such as Applied Mathematics, Statistics, Data Science, or related disciplines
Strong theoretical grounding in statistical modelling is essential

Experience:

Strong background in data preparation, data wrangling, and exploratory analysis
Experience working with SAS, Python, and SQL in production environments
Proven experience with machine learning or statistical models
Exposure to cloud technologies, preferably AWS
Experience using data visualisation tools (e.g., SAS Visual Analytics or similar)

Skills

Strong analytical and problem-solving ability
Ability to work independently and take full ownership of solutions
Excellent communication skills and the ability to tell a clear data-driven story
High levels of curiosity and willingness to experiment and learn
Strong collaboration skills — able to work closely with both technical and non-technical teams
Enjoys tackling challenging problems and thrives in a dynamic environment

For more exciting Actuarial and Analytics vacancies, please visit:

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