Job Title: Data Scientist
Location: Cape Town, Durban, or Johannesburg, South Africa
Employment Type: Full-Time
Remuneration: R 80 000.00 R 90 000.00

We are seeking a skilled and inquisitive Data Scientist to join a dynamic and growing team. The ideal candidate has hands-on experience working with both structured and unstructured data, designing and implementing models, and delivering actionable insights to support product development and business decision-making.

In this role, you will collaborate closely with architects, developers, and business stakeholders to build data-driven solutions and contribute to ongoing innovation across product offerings.

To analyse large volumes of structured and unstructured data, develop predictive and classification models, and create data-driven solutions aligned with business needs. The role includes preparing and transforming data for modelling, deploying machine learning models, and collaborating across teams to drive innovation and deliver actionable insights.

Requirements:

• Bachelors or Honours degree in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field.
• 35 years in a Data Science role, preferably in a fast-paced or product-driven environment.
• Proficiency in Python (preferred) or R for data science and ML.
• Experience with machine learning libraries, including those within Azure Machine Learning and Fabric.
• Strong SQL skills.
• Experience with Power BI for data visualization.
• Familiarity with big data tools such as Azure Synapse Analytics and Microsoft Fabric.
• Understanding of APIs, Azure cloud platforms, and Git-based workflows

Responsibilities: 

• Analyse structured and unstructured data to uncover trends, patterns, and actionable insights.
• Develop, train, and validate predictive and classification models (e.g., regression, decision trees, clustering, recommendation systems).
• Work with time-series, transactional, and behavioural data for advanced analysis.
• Implement machine learning models using Python, R, or similar tools.
• Collaborate with engineering teams to deploy models into applications and platforms.
• Monitor and optimise model performance and accuracy.
• Define and extract relevant datasets in collaboration with data engineers.
• Perform data cleaning, transformation, feature extraction, and normalization.
• Conduct exploratory data analysis (EDA).
• Engage with business stakeholders to understand needs and identify data science solutions.
• Translate business challenges into data-driven approaches.
• Present insights via dashboards, visualizations, and reports.
• Work within Agile, cross-functional teams.
• Document methodologies and code for reusability.
• Contribute to continuous improvement of data science frameworks and practices.

How To Apply:

• Contact Hire Resolve today for your next career-changing move
• Our client is offering a highly competitive salary for this role based on experience.
• Send your CV to: *****@*****.co.za or connect with Mischa Bornman via LinkedIn.
• Alternatively, you can also contact me directly at Hire Resolve *****@*****.co.za 
• We will contact you telephonically in 3 days should you be suitable for this vacancy. If you are not suitable, we will put your CV on file and contact you regarding any future vacancies that arise.