SUMMARY:
Work closely with experienced consultants to deliver technical and analytical components for client engagements in a collaborative environment. Johannesburg, Tourism and Retail industry, R40 000 - R50 000
POSITION INFO:
About Our Client
Our client is a boutique analytics consulting firm specializing in data analytics and statistical modelling to deliver actionable insights for various industries. They currently have a strong focus on Tourism and Retail while actively expanding into additional sectors. Their work centers on helping clients make better decisions through rigorous quantitative analysis.
The Role: Data Scientist (Junior to Mid-Level)
The purpose of this role is to support a growing project pipeline by providing strong analytical skills and technical expertise. This role contributes to the business by translating client challenges into data-driven solutions and converting technical outputs into practical advice. The main focus areas include statistical modelling, AI/LLM applications, and supporting the full market research process.
Key Responsibilities
- 2-4 years of hands-on experience in data science, analytics, statistical modelling, or market research is required.
- Build, validate, and interpret statistical and predictive models including regression, cluster analysis, and dimension-reduction techniques.
- Apply AI engineering approaches and Large Language Models to solve client problems and analyse unstructured text data.
- Perform end-to-end data work including collection, cleaning, feature engineering, and quality assurance using Python, R, and SQL.
- Support the analytical market research process from survey design through to methodology selection and insight delivery.
- Assist in developing professional PowerPoint presentations to communicate complex findings and recommendations to clients.
- Collaborate with the team on project delivery, quality reviews, and client workshops.
- Utilize data visualization libraries or tools where required.
About You
- 2-4 years of hands-on experience in data science, analytics, statistical modelling, or market research.
- Bachelors or Masters degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field, or at least 4 years of relevant experience.
- Strong proficiency in Python and/or R.
- Solid SQL skills for data querying and manipulation.
- Practical exposure to AI/LLM applications and text analytics.
- Demonstrated ability to apply statistical/predictive models and multivariate techniques.
- Good working knowledge of Microsoft PowerPoint for creating client-ready decks.
- Industry or consulting experience in an analytical environment is ideal.
