Data Scientist

Johannesburg - South Africa

Monthly Salary: Not Disclosed

Posted on: 16 hours ago

Vacancies: 1 Vacancy

Job Summary

Data Scientist (Junior to Mid-Level)
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

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.

Data Scientist (Junior to Mid-Level) 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 About Our Client Our client is a boutique analytics consulti...

About Our Client

The Role: Data Scientist (Junior to Mid-Level)

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.